CN108089080A - A kind of distribution network planning monitoring system - Google Patents

Abstract

The invention discloses a distribution network planning and monitoring system, which includes an acquisition module, a communication module and a main control module. The main control module includes a central processing unit, a hard point table modification sub-module, a power grid structure model construction sub-module and a parameterized DMU power grid Model building submodules. This application uses the main control module to modify the hard point table according to the collected grid data, and then establishes a hard point grid structure model based on the modified hard point table, and then performs parameterization of the hard point grid structure model to obtain a dynamic parameterization of the power grid The model realizes the automatic construction of the power grid model and the real-time monitoring of the power grid; and can reduce the time required for the construction of the power grid model at each monitoring end, thereby improving the effectiveness of power network regulation, the stability and efficiency of safe operation.

Description

A Distribution Network Planning Monitoring System

technical field

The invention relates to the technical field of distribution network management, in particular to a distribution network planning monitoring system.

Background technique

With the rapid development of distribution network construction, grid data is gradually developing in the direction of complex types and diversified information. The complex and diverse distribution network puts forward higher requirements for the safe operation of electric power. In order to ensure the safe operation of the distribution network, it is necessary to carry out reasonable planning and monitoring of the distribution network to detect potential safety hazards in advance and deal with safety problems in a timely manner.

At present, for systems with simulation and analysis functions, the power grid conditions of each monitoring route need to be modeled, checked and analyzed. If it fails, the entire model needs to be rebuilt. This cycle continues until the performance parameters reach the expected value, and at the same time, there will be no mutual interference in the process of changing the power parameters and the requirements for strength, fatigue, etc. will be met. In this way, it will take a long time to build the power grid model of each monitoring section, and it is impossible to automatically build a dynamic model based on the monitored data, resulting in the effectiveness of power network regulation, the stability and efficiency of safe operation. Low.

Contents of the invention

The purpose of the present invention is to provide a distribution network planning and monitoring system to reduce the time required for the construction of the network model of each monitoring section, and to automatically construct the dynamic model according to the monitored data, so as to realize the real-time monitoring of the network data and improve the The effectiveness of power network regulation, the stability and efficiency of safe operation.

In order to achieve the above purpose, the present invention provides a distribution network planning and monitoring system, including:

A collection module, the collection module includes a plurality of function detection sub-modules with a Beidou positioning module, which is used to collect the power grid data of the preset monitoring management section;

A communication module, used as a communication intermediary between the acquisition module and the main control module;

The main control module, the main control module includes a central processing unit, a hard point table modification submodule, a power grid structure model construction submodule and a parameterized DMU power grid model construction submodule;

The central processor is used to receive the grid data, and use the corresponding Beidou positioning information and time information to mark the grid data to obtain the marked grid data, and send the marked grid data to the hard point table modification module ;

The hard point table modification submodule is used to use the preset modification algorithm to apply the marked grid data to the pre-built hard point table, modify the corresponding data of the hard point table, and obtain the modified hard point table;

The grid structure model construction submodule is used to establish a hard point grid structure model according to the modified hard point table;

The parameterized DMU grid model construction sub-module is used to parameterize the hard point grid structure model, and establish the grid structure point line model of each area of the grid system according to the hard point grid structure model; based on the Construct a point-line model of the power grid to establish a detailed digital model of each regional power grid; establish a point-line DMU model of the power grid system, and decorate the detailed digital model to the point-line DMU model of the power grid system to obtain a parameterized DMU model of the power grid system.

Optionally, the main control module also includes a hard point table construction sub-module, which is used to establish a dynamic model of the power grid system using ADAMS according to the grid structure and operating parameters; read at least the position of each hard point of the power grid system ADAMS hard point file of information, obtain the coordinate value of each hard point in the ADAMS hard point file, according to the coordinate value, construct the hard point table of described pre-construction;

Wherein, the hard point table includes the coordinate name of each hard point, the coordinate value of each hard point, and the distance value between two adjacent coordinates.

Optionally, the main control module further includes a power network status evaluation sub-module, configured to receive the marked power grid data sent by the central processor; according to the marked power grid data, use a preset evaluation method to perform power Evaluate the network status and obtain the evaluation result.

Optionally, the main control module further includes a prediction submodule, configured to generate a temporal curve and a spatial effect curve based on the grid data, and compare the temporal curve and the spatial effect curve with the original measured curve respectively. Comparing the analysis and prediction to obtain the analysis and prediction result, and comparing the similarity between the grid data and the pre-stored grid data to obtain the comparison result.

Optionally, the main control module further includes a display submodule, configured to display the power grid data and the evaluation result, and display the result curve drawn based on the power grid data and the evaluation result, and the analysis and prediction Results and the comparison results.

Optionally, the main control module further includes a human-computer interaction sub-module, configured to receive user instructions.

Optionally, the acquisition module includes at least a voltage sensor, a current sensor, a frequency detection submodule, a load detection submodule, an electric field strength detection submodule, and a magnetic field strength detection submodule;

The grid data includes at least voltage, current, frequency, load, electric field strength and magnetic field strength.

Optionally, it also includes a cloud computing platform; the communication module includes a PLC computing module; the PLC running module is connected to the main control module through two-way communication through the cloud computing platform.

Applying the above technical solution, modify the hard point table through the main control module according to the collected grid data, and then establish the hard point grid structure model based on the modified hard point table, and then parameterize the hard point grid structure model to obtain the power grid The dynamic parametric model realizes the automatic construction of the power grid model and the real-time monitoring of the power grid; and can reduce the time required for the construction of the power grid model at each monitoring end, thereby improving the effectiveness of power network regulation, the stability and efficiency of safe operation.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 is a schematic structural diagram of a distribution network planning and monitoring system provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to FIG. 1. FIG. 1 is a schematic structural diagram of a distribution network planning and monitoring system provided by an embodiment of the present invention. The system includes:

Acquisition module 100, the acquisition module includes a plurality of function detection sub-modules with Beidou positioning module, used to collect the power grid data of the preset monitoring management section;

Wherein, the acquisition module 100 at least includes but is not limited to a voltage sensor, a current sensor, a frequency detection sub-module, a load detection sub-module, an electric field strength detection sub-module and a magnetic field strength detection sub-module. Correspondingly, the collected grid data includes at least but not limited to voltage, current, frequency, load, electric field strength and magnetic field strength.

Moreover, the grid data collected by the detection unit with the Beidou positioning module will make all the grid detection data carry Beidou positioning information, so that it can facilitate the determination of the position of the detection module and improve the accuracy of detection.

Specifically, the load detection sub-module may include an instantaneous load detection unit for detecting the load fluctuation rate of the power network and an average load detection unit for detecting the load fluctuation trend of the power network. The electric field strength detection sub-module is specifically an electric field strength detector, and the magnetic field strength detection module is specifically a magnetic field strength detector.

The communication module 200 is used as a communication intermediary between the acquisition module and the main control module;

Wherein, the communication module may specifically include a PLC operation module, and the PLC operation module may be connected to the Internet through wired communication, and different PLC operation modules may be connected to each other through a wireless communication module.

The system can also include a cloud computing platform, the PLC operation module is connected to the main control module through two-way communication through the cloud computing platform, and the cloud computing platform is connected to the PLC operation module and the main control module through full-duplex communication.

In addition to being used as a communication intermediary between the acquisition module and the main control module, the PLC operation module can also schedule and control each function detection unit of the acquisition module. That is, the communication module can be set up in one-to-one correspondence with the function detection module, and schedule and control the voltage, current, frequency, load, electric field strength and magnetic field strength of the power network respectively.

Main control module 300 , the main control module includes a central processing unit 310 , a hard point table modification submodule 320 , a grid structure model building submodule 330 and a parameterized DMU grid model building submodule 340 . Specifically, the main control module 300 can be embodied as several redundantly configured industrial computers, the industrial computers can be connected to the cloud computing platform, and each industrial computer has its own independent database.

The central processing unit 310 is used to receive the grid data, and use the corresponding Beidou positioning information and time information to mark the grid data, obtain the marked grid data, and send the marked grid data to the hard point table modification module 320;

The hard point table modification submodule 320 is used to utilize the preset modification algorithm to act on the pre-built hard point table with the marked grid data, modify the corresponding data of the hard point table, and obtain the modified hard point table;

The grid structure model building sub-module 330 is used to establish a hard point grid structure model according to the modified hard point table;

The parameterized DMU power grid model construction sub-module 340 is used to parameterize the hard point power grid structure model, and establish the power grid structure point line model of each area of the power grid system according to the hard point power grid structure model; based on the power grid structure point line model, establish Detailed digital model of each regional power grid; establish a point-line DMU model of the power grid system, and decorate the detailed digital model to the point-line DMU model of the power grid system to obtain a parametric DMU model of the power grid system.

Hardpoint tables may or may not be pre-built. Therefore, in this embodiment, the main control module 300 can also include a hard point table construction sub-module 350, which is used to establish a dynamic model of the power grid system using ADAMS according to the grid structure and operating parameters; The ADAMS hard point file of point position information obtains the coordinate value of each hard point in the ADAMS hard point file, and builds a pre-built hard point table according to the coordinate value; wherein, the hard point table includes the coordinate name of each hard point, each hard point The coordinate value of the point and the distance value between two adjacent coordinates.

More specifically, the construction process of the hard point table can be specifically to use Matlab to read the coordinate values of each hard point in the ADAMS hard point file, and import each coordinate value into the excel file. In the first form of the excel file Store the name of each hard point, coordinate value and the distance between two adjacent coordinates. Place the coordinate name of the hard point in the first column of the second sheet of the excel file, the second column is linked to the corresponding coordinate value in the first sheet, and the third column is linked to the distance between the corresponding two coordinates in the first sheet distance, the excel file is a pre-built hard point table, which can be modified according to the collected real-time power grid data.

The hard point table modification sub-module 320 can modify the corresponding data in the hard point table according to the grid data based on the direct or indirect correspondence between the collected grid data and the relevant elements of the hard point table data, so as to complete the modification of the hard point table . Then, the grid structure model construction sub-module 330 will build a grid structure model including all hard point coordinates of the grid system based on the modified hard point table.

Next, the parameterized DMU grid model construction sub-model 340 will perform parameterized processing on the grid structure model, so that the grid structure model and the hard point table are associated, and each associated hard point in the grid structure model is published. Specifically, using CATIA The parameter input function of the software imports the coordinate name and its value in the hard point table into the hard point CATPart model in the form of length parameters; uses the design table attack of CATIA software to import the hard point expression into the hard point CATPart model in the form of a design table , and specify to import the second form of the hard point table excel file when importing; use the formula editor of CATIA software to replace the coordinate values of each hard point in the hard point CATPart model with corresponding design parameters; use the release tool of CATIA software to publish the Hardpoints Individual hardpoints in the CATPart model.

Parameterized DMU grid model construction sub-model 340 establishes the grid structure wire model of each area of the grid system according to the grid structure model, wherein the grid structure point line model of each area includes the corresponding part of the published hard points, and maintains the corresponding Then, based on the point-line model of the power grid structure, the detailed digital model of each regional power grid is established; the point-line DMU model of the power grid system is established, and the detailed digital model is decorated to the point-line DMU model of the power grid system to obtain the parameterized DMU of the power grid system Model.

It can be seen that through the hard point table modification sub-module 320 and the parameterized DMU power grid model construction sub-model 340, a real-time power grid model can be constructed according to the collected real-time power grid monitoring data, and the construction of a dynamic model of the power grid system can be realized. Real-time monitoring of the power grid. At the same time, it can also provide reference data for distribution network planning and realize simulation analysis of distribution network planning policies.

In some feasible implementations, the main control module 300 may also include a power network status evaluation sub-module 360, configured to receive the marked power grid data sent by the central processor; according to the marked power grid data, use a preset evaluation method to evaluate the power network status Evaluate and get the evaluation result.

In some feasible implementations, the main control module 300 can also include a prediction sub-module 370, which is used to generate a temporal curve and a spatial effect curve according to the power grid data, and compare and analyze the temporal curve and the spatial effect curve with the original measured curve. Prediction, get the analysis and prediction results, compare the similarity between the power grid data and the pre-stored power grid data, and get the comparison results.

Among them, the temporal curve shows the original data of each monitoring point or the change of power network parameter data over time, and the spatial effect curve highlights the change law of the monitoring results of different measuring points at the same time with the spatial information of the power network.

In some feasible implementations, the main control module 300 may further include a display submodule 380 for displaying grid data and evaluation results, displaying result curves drawn based on grid data and evaluation results, and analyzing prediction results and comparison results. Specifically, different results may be displayed in different representation forms such as two-dimensional graphs or three-dimensional graphs, so that relevant information is intuitive and easy to understand.

Of course, the main control module 300 also includes a human-computer interaction sub-module 390 for receiving user instructions, for example, it can receive user control instructions, and then send corresponding data to corresponding modules for execution according to the control instructions.

In a distribution network planning and monitoring system provided by an embodiment of the present invention, the main control module 300 modifies the hard point table according to the power grid data collected by the acquisition module 100, and then establishes a hard point grid structure model based on the modified hard point table , and then carry out the parameterization of the hard-point power grid structure model, and obtain the dynamic parameterized model of the power grid, which realizes the automatic construction of the power grid model and real-time monitoring of the power grid; and can reduce the time required for the construction of the power grid model at each monitoring end, thereby improving the regulation of the power network Effectiveness, safety, stability and efficiency of operation.

Each embodiment in the description is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.

Professionals can further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software or a combination of the two. In order to clearly illustrate the possible For interchangeability, in the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

The distribution network planning monitoring system provided by the present invention has been introduced in detail above. In this paper, specific examples are used to illustrate the principle and implementation of the present invention, and the descriptions of the above embodiments are only used to help understand the method and core idea of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims (8)

1. a kind of distribution network planning monitoring system, which is characterized in that including：

Acquisition module, the acquisition module includes multiple Function detection submodules with Beidou positioning module, default for gathering The electric network data of monitoring management section；

Communication module, for the communications intermediary as the acquisition module and main control module；

The main control module, the main control module include central processing unit, hard spot table modification submodule, Power network construction model construction Submodule and parametrization DMU electric network model structure submodules；

The central processing unit utilizes corresponding Beidou positioning information and temporal information to institute for receiving the electric network data It states electric network data to be marked, obtains mark electric network data, the mark electric network data is sent to the hard spot table changes mould Block；

The hard spot table modification submodule is used for using default modification algorithm, and the mark electric network data is acted on prebuild Hard spot table changes the corresponding data of the hard spot table, draws hard spot table after modification；

The Power network construction model construction submodule is used for according to hard spot table after the modification, establishes hard spot Power network construction model；

The parametrization DMU electric network models structure submodule is used to carry out parameterized treatment to the hard spot Power network construction model, And according to the hard spot Power network construction model, the Power network construction Point and Line Model in each region of network system is established；Based on the power grid Point and Line Model is constructed, establishes the detailed digital-to-analogue of each regional power grid；Establish network system dotted line DMU models, and by the detailed number Mould decorates the parametrization DMU models for the network system dotted line DMU models, obtaining network system.

2. distribution network planning monitoring system according to claim 1, which is characterized in that the main control module further includes hard spot Table builds submodule, for according to electric network composition form and operating parameter, establishing the kinetic simulation of network system using ADAMS Type；The ADAMS hard spot files of the location information of each hard spot including at least network system are read, obtain the ADAMS hard spots text The coordinate values of each hard spot in part according to the coordinate values, build the hard spot table of the prebuild；

Wherein, the hard spot table include each hard spot fix name, the coordinate values of each hard spot and two neighboring coordinate it Between distance value.

3. distribution network planning monitoring system according to claim 2, which is characterized in that the main control module further includes electric power Network state assesses submodule, for receiving electric network data after the mark of the central processing unit transmission；According to the mark Electric network data after note carries out electric power networks status assessment using default appraisal procedure, draws assessment result.

4. distribution network planning monitoring system according to claim 3, which is characterized in that the main control module further includes prediction Submodule, for according to the electric network data, tense curve and three-dimensional effect curve being generated, by the tense curve and the sky Between effect curve compare and analyze prediction with former measured curve respectively, draw analysis prediction result, and by the electric network data Similarity comparison is carried out with pre-stored electric network data, draws comparison result.

5. distribution network planning monitoring system according to claim 4, which is characterized in that the main control module further includes display Submodule for showing the electric network data and the assessment result, and is shown based on the electric network data and the assessment knot The result curve and the analysis prediction result and the comparison result that fruit is drawn.

6. distribution network planning monitoring system according to claim 5, which is characterized in that the main control module further includes man-machine Interaction submodule, for receiving the instruction of user.

7. distribution network planning monitoring system according to claim 1, which is characterized in that the acquisition module includes at least electricity Pressure sensor, current sensor, frequency detecting submodule, load detecting submodule, electric field strength detection sub-module and magnetic field are strong Spend detection sub-module；

The electric network data includes at least voltage, electric current, frequency, load, electric field strength and magnetic field intensity.

8. distribution network planning monitoring system according to any one of claims 1 to 7, which is characterized in that further include cloud computing Platform；The communication module includes PLC computing modules；The PLC operations module passes through the cloud computing platform and the master control Module two-way communication link.