CN113656145B - Script scheduling calculation method for AGC control device of hydropower station - Google Patents

Abstract

The invention discloses a hydropower station AGC control device script scheduling calculation method, which comprises the following steps: scheduling calculation is carried out on the script according to the script calculation strategy; judging whether the calculation result changes, if not, ending the calculation of the current script and scanning the next script; if yes, judging whether the current script has an associated script, if not, ending the calculation of the current script, and scanning the next script; if yes, all associated scripts of the current script are brought into the steps until all scripts in the script file and associated script scheduling calculation are completed. The invention can improve the response speed and the expandability of the AGC control device, improve the adjustment speed, the accuracy and the reliability of the hydropower AGC, and meet the requirements of a power grid on the hydropower frequency modulation and peak regulation capacity.

Description

A script dispatch calculation method for AGC control device of hydropower station

Technical Field

The invention relates to a script dispatching calculation method for an AGC control device of a hydropower station, belonging to the technical field of automatic control of hydropower stations.

Background technique

With the construction of smart grid in my country and the large-scale access of new energy sources with volatility and intermittent characteristics such as wind and solar power to the grid, the grid is under tremendous pressure to regulate frequency, peak and absorb power. This has put more stringent requirements on the frequency and peak rate of hydropower. Improving the regulation rate, precision and accuracy of hydropower AGC is of great significance to improving the flexibility of the grid and ensuring the safe, stable and efficient operation of the grid.

Traditional hydropower station AGC software generally runs on a computer monitoring system server. It consists of a data acquisition module, a preprocessing module, a start-stop module, a load distribution module, an output processing module, etc. It reads real-time data from the computer monitoring system and grid load dispatching instructions through a cyclic timing execution method, considers the operating restrictions of the hydropower station and the units, and determines the number of operating units in the hydropower station, the combination of operating units, and the load distribution between units on the principle of economic operation, while ensuring the safe operation of the hydropower station, so as to meet the grid's output requirements for the hydropower station.

However, traditional AGC software is highly coupled with the hydropower station monitoring system software and communication methods, and its on-site implementation is cumbersome. It adopts a cyclic timing execution method, with low program execution efficiency and slow response rate, and cannot meet the grid's requirements for rapid frequency and peak regulation of hydropower units. In order to solve the above problems, this application proposes a script scheduling calculation method for an AGC control device in a hydropower station.

Summary of the invention

The purpose of the present invention is to overcome the deficiencies in the prior art and provide a script scheduling calculation method for an AGC control device of a hydropower station, which can improve the response rate and scalability of the AGC control device, improve the hydropower AGC regulation rate, accuracy and reliability, and meet the requirements of the power grid for the frequency and peak regulation capabilities of hydropower.

To achieve the above object, the present invention is implemented by adopting the following technical solutions:

The present invention provides a script scheduling calculation method for an AGC control device of a hydropower station, comprising:

Schedule the script according to the script calculation strategy;

Determine whether the calculation result has changed. If not, end the calculation of the current script and scan the next script;

If yes, determine whether the current script has any associated scripts. If not, terminate the calculation of the current script and scan the next script.

If yes, all the scripts associated with the current script are brought into the above steps until all the scripts in the script file and the associated script scheduling calculations are completed.

Preferably, the script file is generated by visual editing based on the UI interface of the AGC control device, and the edited script file is downloaded to the AGC control device. The visual editing includes script input, script checking, and saving and compiling.

Preferably, when the AGC control device is powered on and started, the downloaded script files are preloaded and all scripts are read into the shared memory, and the corresponding script calculation strategy is obtained based on the calculation logic of each script.

Preferably, the logic of the script calculation includes timed execution and triggered execution, the timed execution includes setting a timed execution cycle, and the triggered execution includes setting a trigger source.

Preferably, the script calculation strategy includes:

The scheduled execution script will cyclically trigger the scheduling calculation of the script file according to the set scheduled execution cycle; the triggered execution script decides whether to trigger the scheduling calculation of the script file based on whether the state of the trigger source changes.

Preferably, the determining whether the current script has an associated script includes searching for a script associated with the current script based on a reference relationship knowledge base.

Preferably, the acquisition of the reference relationship knowledge base includes performing reference relationship analysis on all scripts read into the shared memory to obtain reference relationships between the scripts, and generating the reference relationship knowledge base based on the reference relationships.

Preferably, the reference relationship analysis of all scripts read into the shared memory includes:

Parse all scripts to obtain script names, script input parameters, and script output parameters;

Store the script name and script input parameters as keys and values in a hash table mapin, and use the hash table mapin as the input parameter data set {K ₀ =V ₀ , K ₁ =V ₁ , …, K _m =V _m , …, K _n =V _n }, where K _m represents the script name, V _m is a List [x1, x2, xm, …, xn] representing the script input parameter set, and xm represents the script input parameter;

Store the script name and script output parameters as keys and values in a hash table mapout, and use the hash table mapout as the output parameter data set {K ₀ =W ₀ , K ₁ =W ₁ , …, K _m =W _m , …, K _n =W _n }, where K _m represents the script name, W _m is a List [y1, y2, ym, …, yn] representing the script output parameter set, and ym represents the script output parameter;

The input parameter data set and the output parameter data set are analyzed to obtain the reference relations of all scripts, and the reference relations are formed into a hash table maprelation, and the hash table maprelation is used as the reference relation knowledge base { _K0 = _Z0 , _K1 = _Z1 , ..., _Km = _Zm , ..., _Kn = _Zn }, where _Km represents the script name, _Zm is a List [z1, z2, zm, ..., zn] representing the script name set of all referenced scripts, and zm represents the script name of the associated script.

Preferably, the analysis of the input parameter data set and the output parameter data set to obtain the reference relationship of all scripts includes: if any script output parameter in the output parameter data set is any script input parameter in the input parameter data set, then the script corresponding to the script input parameter is the script associated with the script corresponding to the script output parameter.

Compared with the prior art, the present invention has the following beneficial effects:

The present invention provides a script scheduling calculation method for an AGC control device of a hydropower station. By adopting a script scheduling mechanism combining script trigger execution with timed execution, the response rate and scalability of the AGC control device are improved, the hydropower AGC regulation rate, accuracy and reliability are improved, and the requirements of the power grid for the frequency and peak regulation capabilities of hydropower are met.

BRIEF DESCRIPTION OF THE DRAWINGS

1 is a schematic flow chart of a script scheduling calculation method for an AGC control device of a hydropower station provided by an embodiment of the present invention;

FIG. 2 is a schematic diagram of a scheduling calculation flow for triggering the execution of a script provided in an embodiment of the present invention.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

Related technical terms:

AGC: Automatic Generation Control, Automatic Generation Control refers to the technology of automatically controlling the active power of a hydropower plant to meet system needs in a rapid and economical manner according to predetermined conditions and requirements.

Script: A script is an executable file written in a specific descriptive language and in a certain format.

Embodiment 1:

As shown in FIG1 , the present invention provides a script scheduling calculation method for an AGC control device of a hydropower station, comprising the following steps:

The script calculation scheduling program built into the AGC control device schedules and calculates the script according to the script calculation strategy;

The script calculation scheduler determines whether the calculation result has changed. If not, the calculation of the current script is terminated and the next script is scanned;

If so, the script calculation scheduler determines whether the current script has an associated script. If not, the calculation of the current script ends and the next script is scanned;

If yes, all the scripts associated with the current script are brought into the above steps until all the scripts in the script file and the associated script scheduling calculations are completed.

The script file in this embodiment is generated by visual editing based on the UI interface of the AGC control device, and the edited script file is downloaded to the AGC control device. The visual editing includes script input, script checking, and saving and compiling. When the AGC control device is powered on, the downloaded script file is preloaded and all scripts are read into the shared memory, and the corresponding script calculation strategy is obtained based on the calculation logic of each script.

The logic of script calculation includes timed execution and triggered execution. Timed execution includes setting the timed execution cycle, and triggered execution includes setting the trigger source.

The script calculation strategy includes: the scheduled execution script will cyclically trigger the scheduling calculation of the script file according to the set scheduled execution cycle; the triggered execution script determines whether to trigger the scheduling calculation of the script file according to whether the state of the trigger source changes.

In the above steps, determining whether the current script has an associated script includes searching for a script associated with the current script according to a reference relationship knowledge base.

The acquisition of the reference relationship knowledge base includes performing reference relationship analysis on all scripts read into the shared memory, obtaining the reference relationship between the scripts, and generating the reference relationship knowledge base based on the reference relationship.

Reference relationship analysis of all scripts read into shared memory includes:

Parse all scripts to obtain script names, script input parameters, and script output parameters;

Store the script name and script input parameters as keys and values in a hash table mapin, and use the hash table mapin as the input parameter data set {K ₀ =V ₀ , K ₁ =V ₁ , …, K _m =V _m , …, K _n =V _n }, where K _m represents the script name, V _m is a List [x1, x2, xm, …, xn] representing the script input parameter set, and xm represents the script input parameter;

Store the script name and script output parameters as keys and values in a hash table mapout, and use the hash table mapout as the output parameter data set {K ₀ =W ₀ , K ₁ =W ₁ , …, K _m =W _m , …, K _n =W _n }, where K _m represents the script name, W _m is a List [y1, y2, ym, …, yn] representing the script output parameter set, and ym represents the script output parameter;

The input parameter data set and the output parameter data set are analyzed to obtain the reference relations of all scripts, and the reference relations are formed into a hash table maprelation, and the hash table maprelation is used as the reference relation knowledge base { _K0 = _Z0 , _K1 = _Z1 , ..., _Km = _Zm , ..., _Kn = _Zn }, where _Km represents the script name, _Zm is a List [z1, z2, zm, ..., zn] representing the script name set of all referenced scripts, and zm represents the script name of the associated script.

Among them, analyzing the input parameter data set and the output parameter data set to obtain the reference relationship of all scripts includes: if any script output parameter in the output parameter data set is any script input parameter in the input parameter data set, then the script corresponding to the script input parameter is the script associated with the script corresponding to the script output parameter.

As shown in Figure 2, take triggering the execution of a script as an example:

Call the data interface provided by the local static library file libagc.a to obtain real-time data for calculation and set it to shared memory;

Scan the status of the current script trigger source in real time. If the trigger source meets the trigger condition (the trigger source status changes), the corresponding script will be executed immediately. If not, scan the script.

Before storing the calculation result into the shared memory, the result is judged first. If the calculation result is judged to have changed, the next step is continued, otherwise the calculation is terminated.

The associated scripts that will be affected by the results of the script execution are obtained through the script reference relationship knowledge base, and it is determined whether there are associated scripts. If so, the associated scripts are called in sequence according to the calculation results of the current script to introduce data for execution calculation until there are no associated scripts after the current execution script or the calculation results do not change.

Among them, no matter it is triggered by real-time data or script calculation results, the current script should also pay attention to identifying valid changes when receiving changes, determine the exclusion of false trigger points during editing, and specify the dead zone or the range of changes that can take effect. If not edited, any change can be triggered by default.

The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims (6)

1. A hydropower station AGC control device script scheduling calculation method is characterized by comprising the following steps:

When the AGC control device is powered on and started, preloading the downloaded script files, reading all scripts into a shared memory, and acquiring a corresponding script calculation strategy based on calculation logic of each script;

Scheduling calculation is carried out on the script according to the script calculation strategy;

Judging whether the calculation result changes, if not, ending the calculation of the current script and scanning the next script;

If yes, judging whether the current script has an associated script, if not, ending the calculation of the current script, and scanning the next script;

if yes, carrying all associated scripts of the current script into the steps until all scripts in the script file and associated script scheduling calculation are completed;

wherein the computing logic of the script comprises: a timed execution including setting a timed execution cycle period and a trigger execution including setting a trigger source;

The script calculation strategy comprises the following steps: the timing execution script circularly triggers the scheduling calculation of the script file according to the set timing execution cycle period; the trigger execution script decides whether to trigger the dispatch calculation of the script file according to whether the state of the trigger source is changed.

2. The hydropower station AGC control device script scheduling calculation method according to claim 1, wherein the script file is generated based on a UI interface of the AGC control device by visual editing, the edited script file is downloaded to the AGC control device, and the visual editing comprises script input, script checking and save compiling.

3. The method of claim 1, wherein determining whether the current script has an associated script comprises searching for a script associated with the current script based on a knowledge base of reference relationships.

4. The hydropower station AGC control device script scheduling calculation method according to claim 3, wherein the obtaining of the reference relation knowledge base includes analyzing the reference relation of all scripts read into the shared memory to obtain the reference relation among the scripts, and generating the reference relation knowledge base based on the reference relation.

5. The method for calculating script scheduling of AGC control device of a hydropower station according to claim 4, wherein the analyzing the reference relation of all scripts read into the shared memory comprises:

analyzing all scripts to obtain script names, script input parameters and script output parameters;

The script name and script input parameters are stored as keys and values in a hash table mapin, and hash table mapin is used as the input parameter dataset Wherein/>Representing the name of the script,/>Is one/>Representing script input parameter set,/>Representing script input parameters;

The script name and script output parameters are stored as keys and values in a hash table mapout, and hash table mapout is used as the output parameter dataset Wherein/>The name of the script is indicated and,Is one/>Representing script output parameter set,/>Representing script output parameters;

Analyzing the input parameter data set and the output parameter data set to obtain the reference relation of all scripts, forming the reference relation into a hash table maprelation, and taking the hash table maprelation as a reference relation knowledge base Wherein/>Representing the name of the script,/>Is oneScript name set representing all scripts referenced,/>Representing the script name of the associated script.

6. The method for calculating script scheduling of AGC control device of a hydropower station according to claim 5, wherein analyzing the input parameter data set and the output parameter data set to obtain the reference relation of all scripts comprises: if any script output parameter in the output parameter data set is any script input parameter in the input parameter data set, the script corresponding to the script input parameter is the script associated with the script corresponding to the script output parameter.