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WO2016166991A1 - Système de diagnostic pour équipement de génération d'énergie photovoltaïque, et programme - Google Patents

Système de diagnostic pour équipement de génération d'énergie photovoltaïque, et programme Download PDF

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Publication number
WO2016166991A1
WO2016166991A1 PCT/JP2016/002067 JP2016002067W WO2016166991A1 WO 2016166991 A1 WO2016166991 A1 WO 2016166991A1 JP 2016002067 W JP2016002067 W JP 2016002067W WO 2016166991 A1 WO2016166991 A1 WO 2016166991A1
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WIPO (PCT)
Prior art keywords
data
power generation
determination
pattern
unit
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PCT/JP2016/002067
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English (en)
Japanese (ja)
Inventor
浩基 數野
浩一 高岡
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パナソニックＩｐマネジメント株式会社
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Priority to JP2017512205A priority Critical patent/JPWO2016166991A1/ja
Publication of WO2016166991A1 publication Critical patent/WO2016166991A1/fr

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy

Definitions

  • the present invention relates to a diagnostic system and program for photovoltaic power generation facilities.
  • Patent Document 1 a technique for determining whether the output of a solar cell is normal or abnormal based on the electrical output of the solar cell is known (see, for example, Patent Document 1).
  • Patent Document 1 the ratio of the output power value of the solar cell at a predetermined sunshine time to the standard output power value corresponding to the sunshine time is calculated, and whether the output of the solar cell is normal or abnormal is determined based on this ratio. is doing.
  • Patent Document 1 describes a technique in which a maximum value of an output power value repeatedly measured for each daylight time over a plurality of days is used as a standard output power value at the daylight time.
  • Patent Document 1 diagnoses whether or not the solar cell array is properly installed at the time of introduction of the solar power generation facility, and diagnoses deterioration or failure of the power generation capability due to the temporal change of the solar cell array. Therefore, the standard output power value of the solar cell is used.
  • the photovoltaic power generation facility diagnosis system includes a first data acquisition interface, a second data acquisition interface, and a processing unit.
  • the first data acquisition interface is configured to acquire, as first data, power data output in a predetermined time period from a photovoltaic power generation facility including a solar battery.
  • the second data acquisition interface is configured to acquire, as second data, solar radiation intensity data output from the pyranometer during the time period.
  • the processing unit is configured to diagnose the photovoltaic power generation facility based on the first data and the second data.
  • the processing unit includes a calculation unit and a diagnosis unit.
  • the calculation unit obtains an evaluation coefficient that is a ratio of a measured value of the amount of solar radiation obtained from the second data and a product of the solar battery capacity of the solar battery and the amount of electric power obtained from the second data. Composed.
  • the diagnosis unit is configured to diagnose the photovoltaic power generation facility based on the evaluation coefficient obtained by the calculation unit for each of a plurality of predetermined determination periods.
  • the determination period is a period corresponding to any one of a plurality of division periods of one year according to the climate, and is determined to include a plurality of days in which the same season or solar altitude is similar.
  • the program according to the present invention is characterized by causing a computer to function as the above-described diagnostic system for photovoltaic power generation facilities.
  • FIG. 1 illustrates one or more embodiments in accordance with the present disclosure, but are by way of example and not limitation.
  • like numerals refer to the same or similar elements.
  • FIG. 1 It is a block diagram which shows embodiment. It is explanatory drawing of the predetermined time slot
  • the solar power generation facility diagnostic system described below is intended for medium to large scale solar power generation facilities.
  • the diagnostic system for the photovoltaic power generation facility according to each embodiment of the present disclosure may be a single device, or may be configured to distribute any of its own functions to a plurality of devices.
  • the diagnostic system for photovoltaic power generation facilities is referred to as a “diagnosis device”.
  • the power generation scale of the solar power generation facility is not particularly limited, but the solar power generation facility to which the diagnostic device described below is applied assumes a power generation scale of several hundred or more solar panels. .
  • the power generation scale is about 250 kW, 1000 or more solar cell panels are arranged, and if the power generation scale is about 1 MW, the installation area of the solar cell panel is about 1 ha.
  • the technology described below can be applied to a small-scale photovoltaic power generation facility of about several kW for home use or the like.
  • the solar power generation facility includes a solar cell, a power conversion device for converting DC power output from the solar cell into AC power, and a pyranometer regardless of the power generation scale.
  • the pyranometer is configured to measure the solar radiation intensity on the solar cell.
  • the pyranometer is arranged adjacent to the solar cell at the same angle as the inclination angle of the solar cell.
  • the power converter is a so-called power conditioner.
  • the photovoltaic power generation facility described below includes a power receiving / transforming facility having a function of supplying AC power generated by the power conversion device to the power system.
  • a solar cell is composed of a plurality of modules (solar power generation panels) connected in series to form a string.
  • a plurality of strings are connected to the junction box, and the plurality of strings constitute a solar cell array.
  • the junction box has a string monitor and monitors the current output by each string.
  • the DC power output from the solar cell (solar cell array) is supplied to the power converter through the connection box.
  • the photovoltaic power generation facility includes a measurement device that monitors the input voltage of the power conversion device.
  • the measuring device also has a function of acquiring a current value for each string monitored by the string monitor.
  • the electric power generated by the solar cell can be obtained from the current value monitored by the string monitor and the voltage value monitored by the measuring device.
  • the string monitor may be configured not only to monitor the current output from each string but also to monitor the output voltage of the string.
  • Diagnostic device diagnoses whether there is a malfunction in the photovoltaic power generation facility based on both the value of the electric power output from the solar cell and the solar radiation intensity measured by the pyranometer.
  • the diagnostic device described below can diagnose items such as solar cell failure, solar cell degradation, and solar cell contamination.
  • the diagnostic device obtains an evaluation coefficient based on the amount of power generated by the solar cell and the actual value of the amount of solar radiation measured by the pyranometer, and changes in the evaluation coefficient over time. Evaluate the way (behavior of the evaluation coefficient).
  • the Japanese Industrial Standard defines a method for estimating the amount of generated power of a solar power generation system (solar power generation facility).
  • the amount of generated power is determined by the output determined by the specifications of the solar cell module, the number of solar cell modules, the installation mode of the solar cell module, etc. (ie, the solar cell capacity), and the actual amount of solar radiation.
  • the design coefficient Specifically, the amount of generated power is determined by multiplying the product of the power generation capacity and the amount of solar radiation by a design factor including the conversion efficiency of the power conditioner.
  • the design coefficient a fixed value determined by factors constituting the photovoltaic power generation system, the environment, and the like is used.
  • the diagnostic device includes a component that accumulates data for diagnosing the presence or absence of a defect related to the photovoltaic power generation facility, and a component that diagnoses the presence or absence of a defect based on the accumulated data.
  • These two components can be realized by one apparatus, but may be realized by different apparatuses.
  • a component that accumulates data generated by a photovoltaic power generation facility is provided in the photovoltaic power generation facility, and a component that diagnoses the presence or absence of a malfunction of the photovoltaic power generation facility is a photovoltaic power generation through an electric communication line such as the Internet. It can be provided in a diagnostic server that communicates with the facility.
  • data from the photovoltaic power generation facility may be collected by a cloud computing system, and the diagnostic device may be realized by a terminal device managed by an administrator of the photovoltaic power generation facility.
  • Diagnostic devices are used by businesses that use solar power generation facilities to perform power generation businesses, EPC (Engineering, Procurement and Construction) contractors that have received maintenance contracts from power generation businesses, or solar power generation facility maintenance businesses.
  • EPC Engineing, Procurement and Construction
  • the number of sites of the photovoltaic power generation facility handled by one diagnostic apparatus is assumed to be 100 to 500 sites.
  • the number of sites of photovoltaic power generation facilities handled by the diagnostic devices can be increased as necessary.
  • the criterion for diagnosing the presence or absence of a defect in the photovoltaic power generation facility is the above-described evaluation coefficient, but the presence or absence of a defect in the photovoltaic power generation facility is diagnosed by a change in the evaluation coefficient. Therefore, it is necessary to match the conditions for obtaining the evaluation coefficient between the various evaluations.
  • the diagnostic device described below defines conditions for obtaining the evaluation coefficient so that the actually measured values of the amount of solar radiation when obtaining the evaluation coefficient substantially coincide between the various evaluations.
  • the condition for obtaining the evaluation coefficient is that the amount of solar radiation corresponding to a clear day and the solar altitude are similar. Under this condition, the actual measurement value of the amount of solar radiation at the time of obtaining the evaluation coefficient is substantially matched between various evaluations. A technique for determining such a condition will be described later.
  • the diagnostic device 10 is configured to receive data from the photovoltaic power generation facility 20 through the electric communication line 31.
  • the telecommunication line 31 is selected from a VPN (Virtual Private Network) using the Internet, a mobile communication network, a dedicated line, or the like.
  • the diagnostic device 10 functions as a computer server configured to communicate with a terminal device 32 managed by an operator who performs operation management or maintenance / inspection management of the photovoltaic power generation facility 20. That is, the diagnostic device 10 constructs an abnormality monitoring system together with the terminal device 32.
  • a solid line represents a power path
  • a broken line represents a signal path.
  • a solar power generation facility 20 shown in FIG. 1 includes, in addition to the solar cell 21, a power conversion device 24 configured to convert DC power output from the solar cell 21 into AC power, and a solar radiation meter 25.
  • the solar radiation meter 25 is configured to measure the solar radiation intensity to the solar cell 21 (strictly, the solar radiation intensity corresponding to the solar radiation intensity to the solar cell 21).
  • the pyranometer 25 is disposed adjacent to the solar cell 21.
  • the solar radiation meter 25 may be an all solar radiation meter configured to measure the solar radiation intensity to the solar cell 21 to obtain the total solar radiation amount.
  • thermometer may be arranged in addition to the pyranometer 25.
  • the photovoltaic power generation facility 20 includes a power receiving / transforming facility 26 that supplies AC power generated by the power converter 24 to the power system 27.
  • the solar cell 21 is composed of one or a plurality of solar panels (or strings). In the example of FIG. 1, the solar cell 21 is composed of a plurality of strings 211, and the electric output of each of the strings 211 is monitored by a string monitor 221.
  • the connection box 22 stores, for example, a plurality of string monitors 221 that are electrically connected to each of the plurality of strings 211 constituting one solar cell array.
  • the photovoltaic power generation facility 20 includes a plurality of connection boxes 22, and a plurality of strings 211 are connected to each connection box 22. Therefore, the number of string monitors 221 corresponding to the number of the plurality of strings 211 to be connected is accommodated in one connection box 22.
  • the string monitor 221 may be provided separately from the connection box 22.
  • the connection box 22 is configured to collect the DC power output from the string 211 and supply it to the power converter 24.
  • the string monitor 221 is configured to measure the current from the corresponding string 211 through a current sensor.
  • a current sensor a configuration in which a Hall element or a magnetoresistive element is attached to a magnetic core is used. The current measurement may be performed through a shunt resistor.
  • the photovoltaic power generation facility 20 includes a measuring device 23 configured to monitor (measure) an input voltage to the power conversion device 24.
  • the measuring device 23 has a function of acquiring a current value output from each of the strings 211 from the string monitor 221 and a function of acquiring an electric output value of the pyranometer 25.
  • the pyranometer 25 may be connected to the power conversion device 24, and the measurement device 23 may acquire the value of the electric output of the pyranometer 25 via the power conversion device 24.
  • the measuring device 23 may obtain the power value based on the current value and the voltage value.
  • the measuring device 23 includes a communication unit 231 for communicating with the diagnostic device 10 through the above-described electric communication line 31.
  • the diagnostic device 10 is configured to receive, from the measuring device 23, the power data (first data) output from the solar cell 21 and the solar radiation intensity data (second data) measured by the solar radiation meter 25. .
  • the diagnostic device 10 includes a first data acquisition interface 11 configured to acquire power data, and a second data acquisition interface 12 configured to receive solar radiation intensity data.
  • the diagnostic device 10 includes a processing unit 13 configured to diagnose the photovoltaic power generation facility 20 based on power data and solar radiation intensity data.
  • the first data acquisition interface 11 is configured to acquire power data for each constant sampling period 101 from each of the plurality of strings 211 constituting the solar cell 21.
  • the second data acquisition interface 12 is configured to acquire the data of the solar radiation intensity from the solar radiation meter 25 for each constant sampling period 101.
  • the sampling period 101 can be selected from the range of about 30 seconds to 10 minutes, but is preferably set to 1 minute, for example.
  • the diagnostic device 10 includes a built-in clock (timer) 14 such as a real-time clock in order to measure the date and time and to determine the sampling period 101.
  • the diagnostic device 10 includes a built-in clock (timer) 14, but the present embodiment is not limited to this.
  • the measuring device 23 includes a timer, acquires power data of the solar cell 21 and solar radiation intensity data of the pyranometer 25 for each sampling period 101, and transmits each data to the diagnostic device 10 ( It may be configured to be supplied to the data acquisition interfaces 11 and 12).
  • the timer is provided in any of the diagnostic device 10 and the photovoltaic power generation facility 20
  • the first and second data acquisition interfaces 11 and 12 correspond to the first data and the second data, respectively. It is desirable to obtain the time information together with the corresponding time information for each of the first data and the second data.
  • the time information is information on the time at which the corresponding data is acquired, and is date information in this embodiment.
  • the diagnostic device 10 obtains the data of the current value for each string 211 and the voltage value input to the power converter 24 through the telecommunication line 31 from the measuring device 23, and obtains the power value generated for each string 211. If there is no abnormality in the corresponding string 211, the power value has a predetermined relationship with the value of the solar radiation intensity received by the corresponding string 211.
  • the diagnosis device 10 may be configured to receive power value data from the measurement device 23 instead of receiving the current value and voltage value data from the measurement device 23. That is, the measurement device 23 may be configured to calculate the power value from the current value and the voltage value.
  • the measurement device 23 acquires the power data (first data) of the solar cell 21 and the solar radiation intensity data (second data) of the pyranometer 25, and the first through the communication unit 231.
  • the first data and the second data are configured to be supplied to the diagnostic device 10 (data acquisition interfaces 11 and 12).
  • the power data includes a power value or a current value and a voltage value for obtaining the power value.
  • the solar radiation intensity data includes the solar radiation intensity value when the solar radiation meter 25 is configured to output the solar radiation intensity value obtained from the solar radiation intensity, and the solar radiation meter 25 measures the solar radiation intensity to measure the amount of solar radiation (for example, the total sky In the case of being configured to obtain (amount of solar radiation), the amount of solar radiation obtained from the solar radiation intensity is included.
  • the solar radiation intensity data includes a value related to the solar radiation intensity.
  • the first data acquisition interface 11 can acquire power data for each string 211 from the measurement device 23. Further, the first data acquisition interface 11 can acquire the data of the total power of all the strings 211 from the measurement device 23. On the other hand, the second data acquisition interface 12 can acquire the data of the solar radiation intensity measured by the solar radiation meter 25 from the measurement device 23.
  • the first data acquisition interface 11 and the second data acquisition interface 12 acquire data for each predetermined sampling period 101.
  • the sampling period 101 is 1 minute.
  • the processing unit 13 is configured to diagnose the photovoltaic power generation facility 20 based on the integrated value or average value of the power value and the solar radiation intensity in the sampling period (sampling period) 102 for each sampling period 101.
  • the sampling period 101 being one minute is an example, and may be appropriately selected from a range of about 30 seconds to 10 minutes.
  • the diagnostic device 10 includes the data of the power from the solar cell 21 in the period (predetermined time (sunshine hours)) 110 including the time in the south and the solar radiation meter 25. Based on the measured solar radiation intensity data, the solar cell 21 is diagnosed. For example, the diagnosis is performed based on data obtained in the period 110 from 10:00 to 13:00.
  • a sampling period (sampling period) 102 for acquiring values related to a plurality of power values of the solar cell 21 and a plurality of solar radiation intensities of the pyranometer 25 for each sampling period 101 Each sampling period 101 is provided.
  • both ends of each sampling period 101 are sampling points, values in the sampling period 102 immediately before the sampling point are acquired for each sampling point.
  • this configuration is referred to as “configuration A”.
  • the present embodiment is not limited to this configuration A.
  • the present embodiment may have a configuration in which the sampling period 102 is not provided in each sampling period 101 (hereinafter referred to as “configuration B”).
  • the first and second data acquisition interfaces 11 and 12 acquire the first data and the second data, respectively, for each sampling period 101, and the first data and the second data. Is supplied to the processing unit 13.
  • the first data for each sampling period 101 to the processing unit 13 is an average value of a plurality of power values, which is a plurality of power values obtained in the corresponding sampling period 102 or a plurality of power values. It is obtained from a plurality of current values and a plurality of voltage values for obtaining a power value.
  • the second data for each sampling period 101 to the processing unit 13 is an average value of values relating to a plurality of solar radiation intensities, which is obtained from values relating to a plurality of solar radiation intensities obtained in the corresponding sampling period 102. can get.
  • the first data for each sampling period 101 to the processing unit 13 includes a power value obtained at the time of sampling.
  • the 2nd data for every sampling period 101 to the process part 13 contains the value regarding the solar radiation intensity obtained at the sampling time.
  • the value regarding the solar radiation intensity is the solar radiation amount obtained from the solar radiation intensity value or the solar radiation intensity value as described above.
  • the sampling interval in the sampling period 102 is controlled by, for example, a timer (built-in clock 14).
  • the solar power generation facility 20 is installed at the sunrise or sunset time. It depends on the topography. Therefore, the time zone when the solar cells 21 are irradiated with the morning sun and the sunset changes according to the site where the photovoltaic power generation facility 20 is installed, and the solar radiation intensity irradiated to the solar cells 21 in this time zone is also the sun. It changes according to the site where the photovoltaic power generation facility 20 is installed. Furthermore, the time zone when the solar cells 21 are irradiated with the morning sun and the sunset changes depending on the season.
  • the diagnostic device 10 is configured to perform a diagnosis based on the amount of solar radiation in a predetermined time zone 110 that includes the south-central time.
  • the time zone 110 may be within a range of 1 hour to 5 hours, for example, but is preferably 3 hours.
  • This evaluation coefficient Kp represents the degree of total loss that has occurred in the photovoltaic power generation facility 20. That is, the evaluation coefficient Kp includes the angle of the solar cell (solar panel), the inclination of the solar cell, the loss in the electric wire, the conversion efficiency of the power conversion device 24, the loss caused by dirt on the surface of the solar cell, the reflection on the surface of the solar cell. This includes loss due to In addition, since the time zone 110 is a time zone including the South-China time, the evaluation coefficient obtained from the data of the time zone 110 is not affected by obstacles and topography, and the overall power generation facility 20 The degree of loss.
  • the diagnostic apparatus 10 obtains the above-described evaluation coefficient (standard evaluation coefficient) for each time zone 110 including the time between South and Central, and uses the evaluation coefficient obtained from the time zone 110 in a different determination period (air saving) as its standard. By comparing with the evaluation coefficient, the solar power generation facility 20 is diagnosed.
  • the time zone 110 can be a period of 3 hours from 10:00 to 13:00 so as to include the time in South and Central.
  • the time zone 110 is composed of a plurality of calculation periods 111 in units of 30 minutes, and six calculation periods 111 are provided from 10:00 to 13:00.
  • the determination period 100 is a period for classifying seasons, and generally ranges from about two weeks to one month.
  • the determination period 100 includes a plurality of days (15 days) included in one of the twenty-four airs. ) Period is desirable.
  • a plurality of days in the first half of each month, a plurality of days in the second half of each month, or a plurality of days in one month can be employed.
  • a period in which the solar altitudes are almost equal is selected as the determination period 100.
  • a solid line L1 in FIG. 3 indicates how the evaluation coefficient for each time zone 110 changes with time.
  • the evaluation coefficient for each time zone 110 is a calculation period 111 in units of 30 minutes in the time zone 110.
  • the horizontal axis of FIG. 3 represents the time in units of the determination period (energy saving) 100, and it can be seen that the evaluation coefficient for each time zone 110 changes gently.
  • 3 represents (average value of evaluation coefficient + 0.025)
  • broken line L22 represents (average value of evaluation coefficient ⁇ 0.025).
  • the range between the broken line L21 and the broken line L22 represents the range of variation regarding the evaluation coefficient in units of 30 minutes.
  • the evaluation coefficient obtained for 30 minutes as the calculation period 111 is an evaluation coefficient obtained in fine weather
  • the experimental result indicates that the evaluation coefficient is generally within the range of the broken line L21 and the broken line L22 regardless of the determination period (air saving) 100. Is obtained.
  • the average value of the six evaluation coefficients Kp obtained in the six calculation periods 111 changes gently in the determination period 100. From these, it can be seen that the average value of the evaluation coefficient or the like for one determination period (energy saving) 100 may be used as the representative value.
  • the period T E not described evaluation coefficient in Figure 3 the condition is not satisfied as fine weather, it represents a period in which proper evaluation coefficients can not be obtained.
  • the processing unit 13 of the diagnostic apparatus 10 includes a calculation unit 131 for obtaining an evaluation coefficient Kp.
  • the calculation unit 131 obtains the amount of solar radiation for each calculation period 111 from the data of the solar radiation intensity measured by the solar radiation meter 25, and the product of the amount of solar radiation (measured value) and the solar cell capacity (power generation capacity) determined by the specifications of the solar cell 21. Ask for. Furthermore, the calculation part 131 calculates
  • the diagnostic device 10 includes the amount of power obtained from the plurality of first data, the amount of solar radiation obtained from the plurality of second data, and the solar cell 21 (each string for each calculation period 111 of the time zone 110. 211), the evaluation coefficient Kp is calculated.
  • the power amount (power generation amount) obtained from the plurality of first data for each calculation period 111 is an integral value of a plurality of power values obtained in the plurality of sampling periods 101 in the calculation period 111.
  • the amount of solar radiation obtained from the plurality of second data for each calculation period 111 is an integrated value or an average value of values related to the plurality of solar radiation intensities obtained in the plurality of sampling periods 101 in the calculation period 111. That is, the solar radiation amount is an integral value when the solar radiation intensity data acquired by the measuring device 23 includes a solar radiation intensity value, and is an average value when the solar radiation intensity data includes the solar radiation intensity.
  • the diagnostic apparatus 10 obtains a representative value of the evaluation coefficient from the plurality of evaluation coefficients Kp, and uses the representative value of the evaluation coefficient as a representative value (standard evaluation coefficient) of another evaluation coefficient stored in the storage unit 1321.
  • the photovoltaic power generation facility 20 is configured to be diagnosed.
  • the representative value of the evaluation coefficient is an evaluation coefficient for each determination period 100, and this is a plurality of evaluations (6 in the example of FIG. 2 ⁇ days of the determination period 100) obtained for each determination period 100. The average value of the coefficients.
  • the evaluation coefficient for each determination period 100 is obtained from the evaluation coefficient for each time zone 110 within the determination period 100.
  • the diagnostic device 10 diagnoses that the photovoltaic power generation facility 20 is normal when the evaluation coefficient for each determination period 100 is within a threshold range (see FIG. 3) including the standard evaluation coefficient in the middle (preferably the center). Configured to obtain results.
  • the threshold range may be within the range of “representative value of evaluation coefficient + 0.05” to “representative value of evaluation coefficient ⁇ 0.05”, but “representative value of evaluation coefficient + 0.025” to “evaluation”. Desirably, the coefficient is within a range of “ ⁇ 0.025”.
  • the evaluation coefficient is obtained for each determination period (energy saving) from the actual measurement value of the electric energy and the actual measurement value of the solar radiation corresponding to the clear sky conditions. That is, six calculation periods 111 are provided per day, and an evaluation coefficient for each time zone 110 is obtained for each string 211. Therefore, the number of evaluation coefficients obtained for one time zone 110 is 6 ⁇ (the number of strings 211).
  • the processing unit 13 of the diagnostic apparatus 10 includes a diagnostic unit 132 configured to diagnose the photovoltaic power generation facility 20 based on the evaluation coefficient for each determination period 100.
  • the diagnosis unit 132 diagnoses the photovoltaic power generation facility 20 based on the evaluation coefficient obtained for each of the plurality of determination periods (energy saving) 100. That is, the diagnosis unit 132 performs diagnosis based on a plurality of evaluation coefficients. As described above, since one evaluation coefficient is obtained for one air saving for each determination period 100, the evaluation coefficient for each air saving can be rephrased as the evaluation coefficient for each determination period 100.
  • the diagnosis unit 132 diagnoses the photovoltaic power generation facility 20 based on the evaluation coefficients obtained for the plurality of determination periods (plurality of air savings) 100, respectively. Based on the evaluation coefficient for each determination period 100, the diagnosis unit 132 removes a short-circuit failure of the bypass diode mounted on the solar cell 21, deterioration over time of the solar cell 21, and contamination of the surface (light receiving surface) of the solar cell 21. Diagnose as a malfunction of the photovoltaic power generation facility 20.
  • the diagnosis unit 132 includes a storage unit 1321, a comparison unit 1322, and a determination unit 1323.
  • storage part 1321 memorize
  • the standard evaluation coefficient is stored in the storage unit 1321 for a plurality of determination periods 100.
  • the storage unit 1321 desirably stores, for example, standard evaluation coefficients for one year or more.
  • the comparison unit 1322 has a function of obtaining a divergence rate related to the evaluation coefficient obtained for each determination period (energy saving) 100. Further, the comparison unit 1322 has a function of obtaining a difference between the evaluation coefficient for each determination period 100 obtained by the calculation unit 131 during operation of the photovoltaic power generation facility 20 and the standard evaluation coefficient stored in the storage unit 1321. . The determination unit 1323 determines whether or not a failure has occurred in the photovoltaic power generation facility 20 based on the comparison result in the comparison unit 1322.
  • the comparison unit 1322 obtains a divergence rate related to the evaluation coefficient for each string 211 and compares the two divergence rates.
  • n represents the order of the determination period (energy saving) 100.
  • the divergence rate is calculated by using the evaluation coefficient Kp (n) obtained in a specific determination period (energy saving) 100 (n) immediately before the specific determination period (energy saving) 100 (n).
  • the value subtracted from the evaluation coefficient Kp (n ⁇ 1) obtained in the determination period (energy saving) 100 (n ⁇ 1) of the evaluation coefficient Kp (n) obtained in the specific determination period (energy saving) 100 (n) ) Is defined as the value divided by.
  • the deviation rate obtained for one determination period (energy saving) 100 (n) is obtained for each string 211.
  • the divergence rate can be defined by another calculation formula as long as it is a value obtained by dividing the difference between the evaluation coefficients obtained for adjacent determination periods (energy savings) 100 by one evaluation coefficient.
  • the determination unit 1323 is configured to determine that the solar cell 21 has failed when the difference between the two divergence rates compared by the comparison unit 1322 exceeds a predetermined failure threshold.
  • the failure of the solar cell 21 means an event such as a short circuit of the bypass diode. If there is no failure of this type, the divergence rate changes smoothly as shown by a broken line L31 in FIG. 4, but if a failure occurs, the divergence rate changes abruptly as shown by a solid line L41 in FIG. Therefore, the determination unit 1323 calculates a difference between two deviation rates obtained for two adjacent determination periods (energy saving) 100, and when this difference exceeds a failure threshold, Judge that a failure has occurred.
  • the comparison unit 1322 is stored in the storage unit 1321 and the evaluation coefficient for each determination period 100 obtained by the calculation unit 131 during operation of the photovoltaic power generation facility 20. Compare with the standard evaluation factor. Specifically, the comparison unit 1322 obtains a difference obtained by subtracting the evaluation coefficient for each determination period 100 obtained by the calculation unit 131 from the standard evaluation coefficient for the corresponding determination period 100 stored in the storage unit 1321. That is, the corresponding determination period 100 is a past determination period (energy saving) 100 that is the same as the evaluation coefficient determination period 100. For example, in FIG.
  • the determination unit 1323 compares the difference obtained by the comparison unit 1322 with a predetermined deterioration threshold, and determines that the solar cell 21 may be deteriorated when the difference exceeds the deterioration threshold.
  • the determination unit 1323 determines the standard evaluation coefficient stored in the storage unit 1321 and the determination period 100 obtained by the calculation unit 131 in a plurality of determination periods (energy saving) 100 before the corresponding determination period (energy saving) 100. It is verified whether or not the difference from the evaluation coefficient increases with time. And when the difference is increasing with progress of time like FIG. 5, the judgment part 1323 judges that the solar cell 21 has deteriorated.
  • a broken line L ⁇ b> 32 represents a standard evaluation coefficient obtained for each determination period (energy saving) 100
  • a solid line L ⁇ b> 42 represents an evaluation coefficient obtained for each determination period (energy saving) 100 during operation of the photovoltaic power generation facility 20.
  • the solar cell 21 deteriorates over time, it is desirable to detect it as a malfunction when the degree of deterioration is larger than expected.
  • the evaluation coefficient represents the total loss of the photovoltaic power generation facility 20, when an event as shown in FIG. 5 occurs, it is determined not only the solar cell 21 but also the power conversion device 24 is deteriorated. You may make it do.
  • the comparison unit 1322 performs the determination period 100 obtained by the calculation unit 131 during the operation of the solar power generation facility 20, as in the case of determining the deterioration of the solar cell 21. And the standard evaluation coefficient stored in the storage unit 1321 is obtained. As described above, this difference increases as the solar cell 21 deteriorates over time, and thus increases gradually as shown by a solid line L33 in FIG. On the other hand, if dust or yellow sand or the like adheres to the surface of the solar cell 21 and the period without rain continues for a long time, the dust or yellow sand or the like accumulates, and as shown by the broken line L43 in FIG.
  • the power output from the power supply decreases in a shorter time than when it deteriorates. That is, since the evaluation coefficient is proportional to the actual measurement value of the electric energy, if the power output from the solar cell 21 decreases, the evaluation function decreases (see the equation for Kp), resulting in a large difference from the standard evaluation coefficient. Become.
  • the determination unit 1323 determines the increase rate of the difference. Based on this, the deterioration of the solar cell 21 and the adhesion of dirt to the solar cell 21 are distinguished. That is, the determination unit 1323 makes a determination based on three levels of threshold values, ie, a first threshold value, a second threshold value, and a third threshold value (first threshold value ⁇ second threshold value ⁇ third threshold value).
  • the determination unit 1323 determines that the solar cell 21 is deteriorated if the increase rate is equal to or higher than the first threshold value and lower than the second threshold value, and determines that the solar cell 21 is dirty if the increase rate is equal to or higher than the third threshold value.
  • the processing unit 13 of the present embodiment can determine three types of malfunctions with respect to the photovoltaic power generation facility 20, but it is configured to determine at least one of the three types of malfunctions described above. It may be. In other words, the above-described configuration can be omitted as appropriate according to the type of defect to be determined.
  • the first data acquisition interface 11 can acquire data related to electric power in units of the strings 211 of the solar cells 21. Therefore, the diagnostic apparatus 10 can perform a diagnosis with the string 211 as a unit.
  • the diagnosis unit 132 obtains an evaluation coefficient corresponding to each of the plurality of strings 211 based on the power data of each of the plurality of strings 211. For example, the diagnosis unit 132 obtains an evaluation coefficient for each determination period 100 for each string 211. The diagnosis unit 132 can diagnose whether or not a failure has occurred for each string 211 based on the evaluation coefficient obtained for the plurality of strings 211.
  • the evaluation coefficient for each string 211 can be used for diagnosis of failure of the solar cell 21, deterioration of the solar cell 21, contamination of the solar cell 21, and the like.
  • the determination unit 1323 can identify the string 211 in which a defect has occurred by comparing evaluation coefficients obtained for each of the plurality of strings 211 with each other. That is, it is possible to diagnose whether a plurality of strings 211 are individually defective.
  • the determination unit 1323 can determine the defect of the string 211 by comparing the evaluation coefficients of the plurality of strings 211 with each other when the string 211 that may be defective is extracted. .
  • the rate of change of the evaluation coefficient obtained for two adjacent determination periods (energy saving) 100 may be compared.
  • the number of days of saving is a constant value, so that the change rate of the evaluation coefficient can be compared using only the numerator.
  • the rate of change of the evaluation coefficient obtained by the above equation is ⁇ X for the specific string 211 and the range of Y ⁇ Z for the remaining string 211
  • the rate of change of the evaluation coefficient It may be determined that a failure has occurred in the string 211 in which is ⁇ X.
  • the determination unit 1323 determines that the string 211 corresponding to the portion where the change rate is concentrated is normal based on the distribution of the change rate of the evaluation coefficient, and the string 211 corresponding to the outlier of the change rate is defective. Is determined to have occurred.
  • the first data for example, power data
  • the second data for example, solar radiation intensity data
  • the evaluation coefficient described above are data obtained in fine weather. Therefore, it is necessary to determine whether or not these data are obtained in fine weather. In addition, it is necessary to ensure that both the power data and the solar radiation intensity data are data on a clear day.
  • the processing unit 13 has a function of determining whether or not the power data and the solar radiation intensity data are data in fine weather by the following processing.
  • the processing unit 13 includes a temporary pattern extraction unit 133, a pattern storage unit 134, a pattern determination unit 135, and a clear sky determination unit 136 in order to determine whether or not the weather is fine.
  • the time zone 110 is a period including the time between south and middle, the influence of obstacles and topography on solar radiation is reduced, but changes in solar radiation intensity due to clouds occur every moment. For this reason, even in the time zone 110, it is not guaranteed that a period of fine weather continues.
  • the temporary pattern extraction unit 133 determines the maximum power of the same time from a plurality of days (specifically, 15 days) included in one determination period (energy saving) 100 for the power data acquired by the first data acquisition interface 11. A value is obtained, and processing for associating the obtained maximum value with the time is performed.
  • provisional pattern data in which the maximum value of power data is associated with time is referred to as a “provisional pattern”.
  • Data constituting the temporary pattern is stored in the pattern storage unit 134 as a “sunny sky pattern” when a clear sky condition described later is satisfied.
  • the temporary pattern extraction unit 133 obtains the maximum value at the same time from a plurality of days included in one determination period (energy saving) 100 for the solar radiation intensity data acquired by the second data acquisition interface 12. The process of associating the maximum value with the time is performed. A temporary pattern of solar radiation intensity is also stored in the pattern storage unit 134.
  • the temporary pattern extraction unit 133 uses the solar radiation intensity data from the first day to the 15th day to calculate the same day. The maximum value of the data at the time is extracted, and the maximum value is associated with the time. By this process, a solar radiation pattern as shown in FIG. 8 is obtained.
  • FIG. 7 and FIG. 8 illustrate the solar radiation intensity data, the process for generating a temporary pattern based on the power data is the same.
  • the provisional pattern and the solar radiation pattern are based on data in a period in which the solar altitudes are almost the same, they can be handled as data for one day while using data on different days.
  • the provisional pattern is generated with the maximum value at the same time among the power of multiple days
  • the solar radiation pattern is generated with the maximum value at the same time among the solar radiation intensities of multiple days. It is estimated that.
  • the diagnostic apparatus 10 is continuously operated and only the clear sky pattern satisfying the clear sky condition is stored in the pattern storage unit 134. If the clear weather pattern stored in the pattern storage unit 134 is initially operated to ensure that it is clear weather, it will automatically be cleared with clear weather data that satisfies the clear sky conditions in the continuous operation thereafter. Registered. After the clear weather patterns for one year are stored in the pattern storage unit 134, the same clear sky patterns can be used for the same determination period (energy saving) 100. Moreover, after the clear sky pattern for one year is stored in the pattern memory
  • the clear sky condition is based on the degree of similarity between the temporary pattern extracted by the temporary pattern extraction unit 133 during a specific determination period (energy saving) 100 and the clear sky pattern obtained during the determination period 100 before the specific determination period 100.
  • the condition is that it is higher than the value.
  • the clear sky pattern determination period 100 is required to be a determination period 100 that is earlier than the determination period 100 from which the temporary pattern to be compared is extracted and is close to the temporary pattern determination period 100.
  • the determination period 100 for the clear sky pattern is preferably the determination period 100 immediately before the determination period 100 from which the temporary pattern is extracted.
  • the clear sky pattern is not clear in the previous determination period 100 due to irregular weather or occurrence of a new shadow. The pattern may not be generated. Accordingly, it is desirable that the clear sky pattern determination period 100 allows the determination period 100 to be traced back to the previous determination period 100 or the previous determination period 100 with respect to the determination period 100 in which the temporary pattern is generated.
  • the pattern determination unit 135 evaluates the degree of similarity between the temporary pattern and the clear sky pattern, and determines that the corresponding temporary pattern satisfies the clear sky condition if the degree of similarity is equal to or greater than the reference value.
  • the degree of similarity is evaluated based on a difference between data of the same time (calculation period 111) for the temporary pattern and the clear sky pattern. In other words, if the temporary pattern and the clear sky pattern substantially match, the difference is considered to be a substantially constant value in the time zone 110. Therefore, the pattern determination unit 135 may determine that the similarity is greater than or equal to the reference value when the difference is within a predetermined allowable range.
  • the pattern determination unit 135 evaluates the degree of similarity between the temporary pattern and the clear sky pattern based on the difference distribution in the time zone 110, the envelope of the difference in the time zone 110, and the like.
  • one of the temporary patterns with different determination periods (energy saving) 100 is temporarily regarded as a clear sky pattern, and is adopted as a clear sky pattern if the clear sky conditions are satisfied. You may do it.
  • the temporary pattern of the specific determination period (energy saving) 100 determined by the pattern determination unit 135 to satisfy the sunny weather condition is stored in the pattern storage unit 134 as the clear sky pattern of the determination period 100.
  • the pattern determination unit 135 notifies the user terminal device 32 through the output unit 15 by a push method. For example, an alarm signal is transmitted to the terminal device 32.
  • the terminal device 32 is a client for the diagnostic device 10 that is a server, and is generally composed of a personal computer configured to communicate with the diagnostic device 10.
  • a communication path selected from a VPN (Virtual Private Network) using the Internet, a mobile communication network, a dedicated line, or the like is used.
  • the terminal device 32 can be selected from a tablet terminal, a smartphone, and the like in addition to a personal computer, and may be a thin client. Further, the notification from the output unit 15 to the terminal device 32 may be performed by e-mail.
  • the clear sky pattern is obtained from the power data, but the clear sky pattern is also obtained for the solar radiation intensity data by the same processing.
  • a temporary pattern is generated from the solar radiation intensity data, and it is determined whether or not the clear weather condition is satisfied for the temporary pattern for a specific determination period (energy saving) 100.
  • the temporary pattern that satisfies the clear sky condition is stored in the pattern storage unit 134 as a clear sky pattern for a specific determination period 100.
  • the clear sky determination unit 136 compares the clear sky pattern obtained from the power data with the clear sky pattern obtained from the solar radiation intensity data, and whether both the solar cell 21 and the solar radiation meter 25 are data in fine weather. Determine whether or not. That is, the clear sky determination unit 136 obtains a difference in data at the same time for a clear sky pattern related to electric power and a clear sky pattern related to solar radiation intensity, and when the difference is a substantially constant value, both clear weather patterns are data when clear weather. It is determined that it is configured. That is, the clear sky determination unit 136 determines a predetermined allowable range for the difference, and determines that the data on the clear sky is obtained from the solar cell 21 and the pyranometer 25 if the obtained difference is within the allowable range.
  • the clear sky determination unit 136 evaluates the clear sky pattern obtained for power and solar radiation intensity based on the difference distribution in the time zone 110, the envelope of the difference in the time zone 110, and the like.
  • the fine weather judgment unit 136 When at least one of the electric power and the solar radiation intensity is not data at the time of fine weather, the fine weather judgment unit 136 notifies the terminal device 32 through the output unit 15 by a push method, and the evaluation coefficient obtained by the calculation unit 131 performs diagnosis. Notify users that they cannot. In addition, when the clear sky determination unit 136 determines that the cause is an unfavorable weather or an influence of a newly generated shadow, it is desirable to notify the terminal device 32 of the cause as well.
  • the clear sky pattern related to electric power and the clear sky pattern related to solar radiation intensity are determined to be data at the time of clear sky by the pattern determination unit 135, and therefore the processing of the clear sky determination unit 136 is a process for improving safety. It can be omitted.
  • the processing unit 13 includes a time correction unit 137.
  • the time correction unit 137 is configured to correct the deviation in the time axis direction for the power data acquired by the first data acquisition interface 11 and the solar radiation intensity data acquired by the second data acquisition interface 12. Yes.
  • the photovoltaic power generation facility 20 includes the power conversion device 24, and the first data acquisition interface 11 outputs not only the power output from the solar cell 21 but also the power conversion device 24. Data on power can also be obtained.
  • the processing unit 13 corrects the shift in the time axis direction for both data. It is desirable to be configured.
  • the processing unit 13 performs processing in the following order. That is, in the processing unit 13, the temporary pattern extraction unit 133 generates a temporary pattern based on the power data and the solar radiation intensity data, and the pattern determination unit 135 determines the clear sky pattern.
  • the time correction unit 137 eliminates the deviation in the time axis direction. Correction in the time axis direction is not essential, and the time correction unit 137 can be omitted.
  • the clear sky determination unit 136 evaluates whether the clear sky pattern related to electric power and the clear sky pattern related to solar radiation intensity are both data in clear weather.
  • the processing unit 13 cancels the time difference between the power data of the power converter 24 and the power data output from the solar cell 21. Correction in the time axis direction is performed for two types of data.
  • the calculation unit 131 obtains an evaluation coefficient based on data of these clear sky patterns.
  • the diagnosis unit 132 evaluates the evaluation coefficient and performs various diagnoses regarding the photovoltaic power generation facility 20.
  • the above-described diagnostic apparatus 10 of the photovoltaic power generation facility 20 includes a device (first device) including one or more processors that execute a program, and an interface device (second device) for connecting an external device. It is provided as a main hardware element.
  • the first device is selected from one or a plurality of microprocessors that are separately connected to a memory, and one or a plurality of microcomputers (microcontrollers) that are integrally provided with a memory.
  • the program may be provided in a state written in a ROM (Read Only Memory) in advance, but is provided using a computer-readable recording medium so that it can be stored in a rewritable nonvolatile memory. It is desirable. Further, the program may be provided through an electric communication line such as the Internet instead of the recording medium.
  • ROM Read Only Memory
  • the diagnostic device 10 of the photovoltaic power generation facility 20 described above includes a first data acquisition interface 11, a second data acquisition interface 12, and a processing unit 13.
  • the 1st data acquisition interface 11 is comprised so that the data of the electric power output in the predetermined time slot
  • the second data acquisition interface 12 is configured to acquire the solar radiation intensity data output from the solar radiation meter 25 in the time zone 110 as the second data.
  • the processing unit 13 is configured to diagnose the photovoltaic power generation facility 20 based on the first data and the second data.
  • the processing unit 13 includes a calculation unit 131 and a diagnosis unit 132.
  • the calculation unit 131 is configured to obtain an evaluation coefficient that is a ratio between the measured value of the amount of solar radiation obtained from the second data and the product of the solar battery capacity of the solar battery 21 and the amount of power obtained from the first data.
  • the diagnosis unit 132 diagnoses the photovoltaic power generation facility 20 based on the evaluation coefficient obtained by the calculation unit 131 for each of a plurality of predetermined determination periods 100.
  • the judgment period 100 is a period corresponding to any one of a plurality of division periods of one year according to the season (or synchronized with the climate), and is preferably set to include a plurality of days.
  • the determination period 100 may be a period corresponding to any of the 24 categories of energy saving.
  • the calculation unit 131 is preferably configured to obtain a plurality of evaluation coefficients Kp for each of the plurality of calculation periods 111 and obtain an average value of the plurality of evaluation coefficients Kp as a daily evaluation coefficient.
  • the calculation period 111 is obtained by dividing a predetermined time zone 110 of the day including the South-China time.
  • the first data and the second data are used in the time zone including the south-central time when the solar radiation is not easily affected by the obstacle and the terrain, the first data and the second data For each, it is easy to obtain data in fine weather, and it is possible to obtain data that is less affected by seasonal fluctuations.
  • the diagnosis unit 132 preferably includes a comparison unit 1322, which includes two determination periods obtained from the determination period and the determination period adjacent to the determination period for each of the determination periods 100 respectively corresponding to the plurality of segment periods. A divergence rate that is a value obtained by dividing the difference between the evaluation coefficients by one of the two evaluation coefficients is obtained, and the two divergence rates obtained for two adjacent determination periods 100 are compared.
  • the diagnosis unit 132 is configured to determine that the solar cell 21 has failed when the difference between the two divergence rates compared by the comparison unit 1322 exceeds a predetermined failure threshold.
  • the diagnosis unit 132 may include a storage unit 1321, a comparison unit 1322, and a determination unit 1323.
  • the storage unit 1321 has a plurality of evaluation coefficients obtained by the calculation unit 131 for each of the plurality of determination periods 100 when the photovoltaic power generation facility 20 is operating normally. Is stored as a standard evaluation coefficient.
  • the comparison unit 1322 is a determination period in which the evaluation coefficient obtained by the calculation unit 131 during operation of the photovoltaic power generation facility 20 matches the evaluation coefficient determination period 100 among the plurality of standard evaluation coefficients stored in the storage unit 1321. It is configured to be compared with a standard evaluation factor at 100.
  • the determination unit 1323 is configured to determine whether or not the photovoltaic power generation facility 20 has a defect based on the comparison result of the comparison unit 1322.
  • the solar power generation facility 20 is diagnosed on the basis of the standard evaluation coefficient obtained in the normal state and the evaluation coefficient to be compared, so that it is possible to diagnose the deterioration or contamination of the solar cell 21.
  • the determination unit 1323 is configured to determine whether or not the difference (first difference) between the standard evaluation coefficient obtained by the comparison unit 1322 and the evaluation coefficient exceeds a predetermined deterioration threshold.
  • the diagnosis unit 132 determines whether or not the difference (each second difference) between the evaluation coefficient and the standard evaluation coefficient in each of the plurality of determination periods 100 before the corresponding determination period 100 increases with time. Configured to judge.
  • the diagnosis unit 132 is configured to determine that the solar cell 21 is deteriorated when the first difference exceeds the deterioration threshold and each second difference increases with time.
  • the deterioration of the solar cell 21 can be diagnosed.
  • the determination unit 1323 continues to increase the difference between the standard evaluation coefficient obtained by the comparison unit 1322 and the evaluation coefficient over time in the plurality of determination periods 100, and the increase rate of the difference is equal to or greater than the first threshold value. If it is less than the second threshold value, it is determined that the solar cell 21 is deteriorated. On the other hand, the determination unit 1323 is configured to determine that the solar cell 21 is dirty if the increase rate is equal to or greater than a third threshold value that is greater than the second threshold value.
  • the first data acquisition interface 11 is configured to acquire power data for each of the plurality of strings 211 from the plurality of strings 211 constituting the solar cell 21.
  • the determination unit 1323 is configured to determine the change rate of the difference between the standard evaluation coefficient and the evaluation coefficient obtained by the comparison unit 1322 in the two adjacent determination periods 100 for each of the plurality of strings 211. Then, the determination unit 1323 is configured to determine whether there is a problem for each of the plurality of strings 211 based on the distribution of the plurality of change rates obtained for each of the plurality of strings 211.
  • the processing unit 13 preferably includes a temporary pattern extraction unit 133, a pattern storage unit 134, and a pattern determination unit 135.
  • the temporary pattern extraction unit 133 obtains the maximum value at the same time from a plurality of days included in the determination period 100 for each of the power data and the solar radiation intensity data in the determination period 100, and associates the maximum value with the time. It is configured to extract a pattern.
  • the pattern storage unit 134 is configured to store the temporary pattern as a clear sky pattern in the determination period 100 when the temporary pattern satisfies a predetermined clear sky condition.
  • the pattern determination unit 135 is configured to evaluate the degree of similarity between the temporary pattern extracted by the temporary pattern extraction unit 133 during the specific determination period 100 and the clear sky pattern of the determination period 100 before the specific determination period 100. The Then, when the degree of similarity is higher than the reference value, the pattern determination unit 135 determines that the temporary pattern in the specific determination period 100 satisfies the clear sky condition, and determines the temporary pattern in the specific determination period 100 as the specific determination period. It is configured to have 100 clear sky patterns.
  • the calculation unit 131 is configured to obtain an evaluation coefficient based on the clear sky pattern data.
  • the processing unit 13 obtains a difference at the same time between a clear sky pattern related to solar radiation intensity and a clear sky pattern related to electric power in the same determination period 100 of a plurality of years, and whether or not the difference value is within an allowable range set for a predetermined determination value. It is desirable to include a clear sky determination unit 136 configured to determine whether or not.
  • the diagnostic device 10 preferably includes an output unit 15 configured to notify a predetermined terminal device 32 when the difference value is out of the allowable range.
  • both the clear sky pattern related to electric power and the clear sky pattern related to solar radiation intensity are data in clear weather. Further, when at least one of the clear sky pattern related to electric power and the clear sky pattern related to solar radiation intensity is not data at the time of clear weather, the terminal device 32 is notified, and thus the evaluation coefficient obtained for the corresponding determination period 100 is not appropriate. This makes it possible for the user to recognize this.
  • the processing unit 13 is configured to correct the deviation in the time axis direction for the power data acquired by the first data acquisition interface 11 and the solar radiation intensity data acquired by the second data acquisition interface 12. It is desirable to include a correction unit 137.
  • a correction unit 137 For example, when the built-in clock 14 is provided in the diagnostic device 10 as shown in FIG. 1, the power data and the solar radiation intensity data may be shifted in the time axis direction as shown in the example of FIG. For this reason, the time correction unit 137, for example, adjusts the power data and the solar radiation intensity so that the rise or fall of the waveform obtained from the power data coincides with the rise or fall of the waveform obtained from the solar radiation data. Any one of the data is configured to shift in the time axis direction.
  • the solar power generation facility 20 includes a power conversion device 24 that converts the DC power output from the solar cell 21 into AC power.
  • the first data acquisition interface 11 acquires first data related to the power output from the solar cell 21 and second data related to the power output from the power conversion device 24.
  • the processing unit 13 is configured to correct the shift in the time axis direction for the first data and the second data.
  • the power converter 24 can be diagnosed.
  • the program according to the present embodiment causes a computer to function as the diagnostic device 10 of the photovoltaic power generation facility 20.
  • the processing unit 13 of the diagnostic apparatus 10 includes the sampling periods 101 (see FIG. 2) within the plurality of second pattern extraction periods 210 included in the first pattern extraction period 200.
  • the data constituting the reference pattern is extracted from the maximum output value of the photovoltaic power generation facility 20 for each reference).
  • the first pattern extraction period 200 is a period including a plurality of days.
  • the first pattern extraction period 200 is the same period as the (current) determination period 100 in order to immediately apply the data constituting the reference pattern to be obtained from the period 200 to the diagnosis of the photovoltaic power generation facility 20.
  • Each of the plurality of second pattern extraction periods 210 is a period that includes the South-China time, and is preferably a period that is not less than the time zone 110 and not more than the sunshine time. In the example of FIG. 7, each of the plurality of second pattern extraction periods 210 is set to a period longer than the time zone 110 illustrated in the example of FIG.
  • Each of the plurality of maximum output values of the photovoltaic power generation facility 20 obtained during the first pattern extraction period 200 is the maximum output value (for example, the maximum current value or the maximum power value) of the solar cell 21 or the maximum of the pyranometer 25. This is the output value (maximum value for solar radiation intensity).
  • the output value on the vertical axis includes a plurality of output values (for example, solar radiation intensity values) of the solar power generation facility 20.
  • Such a plurality of output values also include a plurality of output values obtained during the cloudy time, and thus often include a plurality of downward peaks (see broken-line peaks) as shown in the example of FIG. If data constituting the reference pattern is extracted from a plurality of output values including a plurality of such downward peaks, it is difficult to obtain the reference pattern as a high-precision clear sky pattern.
  • the processing unit 13 determines the maximum output value 20 MAX of the photovoltaic power generation facility 20 for each sampling period 101 within the plurality of second pattern extraction periods 210.
  • Data constituting the reference pattern is extracted.
  • each of the plurality of maximum output values 20 MAX of the photovoltaic power generation facility 20 obtained during the first pattern extraction period 200 is the maximum output value (maximum solar intensity value) of the solar radiation meter 25. is there.
  • data constituting the reference pattern is extracted from such a plurality of maximum output values 20 MAX , as shown in the example of FIG. 11, data 20 REF constituting the reference pattern as a high-accuracy clear sky pattern can be obtained. .
  • the processing unit 13 determines a predetermined extraction time 220 from a plurality of maximum output values 20 MAX obtained during the first pattern extraction period 200. Each time, the average rate of change is calculated from the two maximum output values 20 MAX corresponding to the times at both ends of the extraction time 220 and the extraction time 220.
  • the average rate of change is preferably a value obtained by dividing the difference between the two maximum output values 20 MAX by the extraction time 220.
  • the extraction time 220 is preferably 30 times the sampling period, but may be set within a range of 20 to 40 times the sampling period 101.
  • the processing unit 13 shifts the extraction time 220 for each sampling period 101 so that the start point of the extraction time 220 shifts from the start point of the time zone 110 to the end point, thereby obtaining a plurality of average change rates. Configured to calculate.
  • the processing unit 13 extracts the maximum output value of the calculated average change rate if the calculated average change rate is within a predetermined allowable range.
  • the data 20 REF constituting the reference pattern is extracted.
  • the maximum output value of the average change rate to be extracted is at least the maximum output value at the start point of the extraction time 220 corresponding to the average change rate.
  • the permissible range is a permissible time range among a plurality of permissible ranges for each time of day.
  • Each of the plurality of allowable ranges is a range including a standard change rate in between.
  • the plurality of standard change rates in the plurality of allowable ranges are average change rates for one day corresponding to a sunny day.
  • the processing unit 13 is configured to store each of a plurality of maximum output values constituting the data 20 REF in the storage unit 1321 as a reference value together with corresponding time information.
  • the processing unit 13 is configured to calculate a single south / middle time for a plurality of time zones 110 included in the (current) determination period 100 from the data 20 REF constituting the extracted reference pattern. Is done.
  • FIG. 12 is a graph showing how the time of south-intermediate time at a point changes over a year, where the north latitude and longitude of the point are 35 degrees and 135 degrees, respectively.
  • the south-central time at an arbitrary point changes from time to time throughout the year. Further, the south / central time also depends on the installation state of the solar cell 21.
  • the processing unit 13 obtains, for each determination period 100, a single South / Central time for a plurality of time zones 110 included in the determination period 100 from the data 20 REF constituting the extracted reference pattern. It is calculated.
  • the processing unit 13 extracts the time when the slope of the tangent 230 with respect to the reference pattern constituted by the extracted data 20 REF becomes zero as the single south-central time. Configured. In the example of FIG. 14, the processing unit 13 obtains a slope value for each value included in the extracted data 20 REF , and extracts the time corresponding to the slope value 240 that is zero as the single south-central time. Configured. In such a configuration, the solar power generation facility 20 can faithfully respond to the changing South / Central time by stably including the actually measured South / Central time in each of the plurality of time zones 110 in the first pattern extraction period 200. A plurality of output values following the above can be obtained.
  • the processing unit 13 determines the time corresponding to the slope value 240 being zero if the sign of the slope value before and after the time corresponding to the slope value 240 being zero is positive and negative, respectively. It is configured to extract as South-Central time. In this configuration, since the single south / intermediate time can be more accurately calculated from the data 20 REF constituting the reference pattern, a plurality of outputs that reliably follow the changing south / intermediate time from the photovoltaic power generation facility 20. A value can be obtained.
  • the processing unit 13 when a plurality of slope values that are zero are obtained from the data 20 REF constituting the reference pattern, the processing unit 13 performs time corresponding to the slope value of the maximum output value among the obtained slope values. Are extracted as the single south-central time. Even in this configuration, a single south / intermediate time can be calculated more accurately from the data 20 REF constituting the reference pattern, so that a plurality of outputs that reliably follow the changing south / intermediate time from the photovoltaic power generation facility 20. A value can be obtained.
  • Diagnosis apparatus 11 1st data acquisition interface 12 2nd data acquisition interface 13 Processing part 15 Output part 20 Solar power generation equipment 21 Solar cell 24 Power converter 25 Solar radiation meter 131 Calculation part 132 Diagnosis part 133 Temporary pattern extraction part 134 Pattern storage unit 135 Pattern determination unit 136 Fine weather determination unit 137 Time correction unit 211 String 1321 Storage unit 1322 Comparison unit 1323 Determination unit

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Abstract

Afin de réaliser avec précision des diagnostics sur un équipement de génération d'énergie photovoltaïque, le dispositif de diagnostic (10) de l'invention comprend : une première interface d'acquisition de données (11) qui acquiert des données d'énergie électrique pendant une période de temps prescrite à partir d'un équipement de génération d'énergie photovoltaïque (20) qui est doté de cellules solaires (21) ; une deuxième interface d'acquisition de données (12) qui acquiert des données d'intensité de rayonnement solaire pour ladite période de temps à partir d'un actinomètre (25) ; et une unité de traitement (13) qui exécute des diagnostics sur l'équipement de génération d'énergie photovoltaïque (20) à partir des données d'énergie électrique et des données d'intensité de rayonnement solaire. L'unité de traitement (13) comprend : une unité de calcul (131) qui obtient des coefficients d'évaluation qui sont des rapports d'une quantité d'énergie électrique, obtenue à partir des données d'énergie électrique, et du produit de la capacité de cellule solaire des cellules solaires (21) et d'une valeur mesurée réelle de quantité de rayonnement solaire qui est obtenue à partir des données d'intensité de rayonnement solaire ; et une unité de diagnostic (132) qui exécute des diagnostics sur l'équipement de génération d'énergie photovoltaïque (20) d'après une pluralité de coefficients d'évaluation obtenus par l'unité de calcul (131) sur une pluralité prescrite de périodes de détermination.
PCT/JP2016/002067 2015-04-17 2016-04-15 Système de diagnostic pour équipement de génération d'énergie photovoltaïque, et programme WO2016166991A1 (fr)

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Cited By (10)

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RU2803314C1 (ru) * 2022-11-01 2023-09-12 Федеральное государственное бюджетное образовательное учреждение высшего образования "Удмуртский государственный университет" Солнечный модуль с блоком диагностики
CN116800200A (zh) * 2023-08-28 2023-09-22 广州丰久新能源科技有限公司 一种基于数据分析的太阳能电板安全监控系统
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WO2020261960A1 (fr) * 2019-06-25 2020-12-30 住友電気工業株式会社 Système de surveillance de dispositif de production d'énergie photovoltaïque à concentration, procédé de détection d'un écart de poursuite, et programme de détection d'écart de poursuite
JP2021118570A (ja) * 2020-01-23 2021-08-10 富士電機株式会社 太陽電池ストリング診断システム及び太陽電池ストリング診断方法
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CN111929586A (zh) * 2020-06-22 2020-11-13 山东信通电子股份有限公司 一种无源无线监拍装置的充电状态评估方法及设备
CN111929586B (zh) * 2020-06-22 2023-09-05 山东信通电子股份有限公司 一种无源无线监拍装置的充电状态评估方法及设备
CN113242018B (zh) * 2021-06-17 2023-08-04 阳光智维科技股份有限公司 一种光伏设备故障诊断方法及其应用装置
CN113242018A (zh) * 2021-06-17 2021-08-10 合肥阳光智维科技有限公司 一种光伏设备故障诊断方法及其应用装置
WO2023095387A1 (fr) * 2021-11-29 2023-06-01 住友電気工業株式会社 Dispositif de détermination et procédé de détermination
KR20240048244A (ko) * 2022-10-06 2024-04-15 정원석 스마트 접속함
KR102668522B1 (ko) * 2022-10-06 2024-05-28 주식회사 넘버제로 스마트 접속함
RU2803314C1 (ru) * 2022-11-01 2023-09-12 Федеральное государственное бюджетное образовательное учреждение высшего образования "Удмуртский государственный университет" Солнечный модуль с блоком диагностики
CN116800200B (zh) * 2023-08-28 2023-12-29 广州丰久新能源科技有限公司 一种基于数据分析的太阳能电板安全监控系统
CN116800200A (zh) * 2023-08-28 2023-09-22 广州丰久新能源科技有限公司 一种基于数据分析的太阳能电板安全监控系统

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