CN113656145A - Hydropower station AGC control device script scheduling calculation method - Google Patents
Hydropower station AGC control device script scheduling calculation method Download PDFInfo
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- 238000004364 calculation method Methods 0.000 title claims abstract description 57
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- 230000000007 visual effect Effects 0.000 claims description 6
- 230000001960 triggered effect Effects 0.000 claims description 5
- 230000004044 response Effects 0.000 abstract description 5
- 230000008859 change Effects 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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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 or not, if not, finishing the calculation of the current script and scanning the next script; if yes, judging whether the current script is associated with the script, if not, finishing the calculation of the current script and scanning the next script; if so, all the scripts related to the current script are brought into the steps until all the scripts in the script file and the related scripts are scheduled and calculated. The invention can improve the response rate and the expandability of the AGC control device, improve the regulation rate, the precision and the reliability of the hydropower AGC, and meet the requirement of a power grid on the hydropower frequency modulation peak regulation capability.
Description
Technical Field
The invention relates to a hydropower station AGC control device script scheduling calculation method, and belongs to the technical field of hydropower station automatic control.
Background
With the construction of intelligent power grids in China and the large-scale access of new energy sources with fluctuation and intermittent characteristics such as large-scale wind and light into the power grids, the frequency modulation peak regulation and absorption pressure of the power grids is huge, stricter frequency modulation peak regulation speed requirements are provided for hydropower, and the improvement of the regulation speed, precision and accuracy of hydropower AGC (automatic gain control) has important significance for improving the flexibility of the power grids and ensuring the safe, stable and efficient operation of the power grids.
The traditional hydropower station AGC software generally runs on a computer monitoring system server and comprises a data acquisition module, a preprocessing module, a start-stop module, a load distribution module, an output processing module and the like, real-time data of the computer monitoring system and a power grid load scheduling instruction are read in a circulating timing execution mode, the operation limiting conditions of a hydropower station and units are considered, on the premise of ensuring safe operation of the hydropower station, the number of units running in the hydropower station, the combination of the running units and the load distribution among the units are determined on the basis of economic operation, and the requirement of a power grid on the hydropower station is met.
However, the traditional AGC software has high coupling degree with hydropower station monitoring system software and a communication mode, and is complex to implement on site, and a cyclic timing execution mode is adopted, so that the program execution efficiency is low, the response rate is slow, and the requirement of a power grid on the quick frequency modulation and peak shaving response of a hydropower unit cannot be met; in order to solve the problems, the application provides a hydropower station AGC control device script scheduling calculation method.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a script scheduling and calculating method for an AGC control device of a hydropower station, which can improve the response rate and expandability of the AGC control device, improve the regulation rate, precision and reliability of the hydropower AGC and meet the requirement of a power grid on the frequency modulation and peak regulation capacity of the hydropower station.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
the invention provides 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 or not, if not, finishing the calculation of the current script and scanning the next script;
if yes, judging whether the current script is associated with the script, if not, finishing the calculation of the current script and scanning the next script;
if so, all the scripts related to the current script are brought into the steps until all the scripts in the script file and the related scripts are scheduled and calculated.
Preferably, the script file is generated by performing visual editing based on a UI interface of the AGC control device, and the edited script file is downloaded to the AGC control device, where the visual editing includes script input, script check, and saving and compiling.
Preferably, when the AGC control device is powered on and started, the downloaded script file is preloaded, all scripts are read into the shared memory, and a corresponding script calculation policy is obtained based on the calculation logic of each script.
Preferably, the logic of the script calculation includes a timed execution and a triggered execution, the timed execution includes setting a timed execution cycle period, and the triggered execution includes setting a trigger source.
Preferably, the script calculation policy includes:
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 scheduling calculation of the script file according to whether the state of the trigger source changes.
Preferably, the judging whether the current script is associated with the script includes searching the script associated with the current script according to the reference relation knowledge base.
Preferably, the acquiring of the reference relationship knowledge base includes analyzing reference relationships of 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 analyzing the reference relationship of all the scripts read into the shared memory includes:
analyzing all scripts to obtain script names, script input parameters and script output parameters;
storing the script name and script input parameters as key and value into a hash table mapin, and using the hash table mapin as input parameter data set { K }0＝V0，K1＝V1，…，Km＝Vm，…，Kn＝VnIn which K ismDenotes the name of the script, VmIs a List [ x1, x2, xm, …, xn]Representing a script input parameter set, and xm representing a script input parameter;
storing the script name and script output parameters as key sum values into a hash table mapout, which is used as an output parameter data set { K }0＝W0，K1＝W1，…，Km＝Wm，…，Kn＝WnIn which K ismDenotes the name of the script, WmIs a List [ y1, y2, ym, …, yn]Representing a script output parameter set, and ym representing a script output parameter;
analyzing the input parameter data set and the output parameter data set to obtain the reference relations of all scripts, forming a hash table mapping from the reference relations, and using the hash table mapping as a reference relation knowledge base { K }0＝Z0，K1＝Z1，…，Km＝Zm，…，Kn＝ZnIn which K ismDenotes the name of the script, ZmIs a List [ z1, z2, zm, …, zn]A set of script names representing all scripts referenced, zm represents the script name of the associated script.
Preferably, the analyzing the input parameter data set and the output parameter data set to obtain the reference relationship of all scripts includes: and 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.
Compared with the prior art, the invention has the following beneficial effects:
according to the script scheduling calculation method for the hydropower station AGC control device, the script scheduling mechanism combining script triggering execution and timing execution is adopted, so that the response rate and expandability of the AGC control device are improved, the regulation rate, precision and reliability of the hydropower station AGC are improved, and the requirement of a power grid on the hydropower frequency modulation peak regulation capacity is met.
Drawings
Fig. 1 is a schematic flowchart of a method for scheduling and calculating a script of an AGC control device of a hydropower station according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a scheduling calculation of a trigger execution script according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Related art terminology:
AGC: automatic Generation Control refers to a technology for automatically controlling the active power of a hydraulic power plant in a rapid and economic manner to meet the needs of a system according to preset conditions and requirements.
Script: script, which is an executable file written according to a certain format using a specific descriptive language.
The first embodiment is as follows:
as shown in fig. 1, the present invention provides a method for scheduling and calculating a script of an AGC control device of a hydropower station, including the following steps:
a script calculation scheduling program built in the AGC control device performs scheduling calculation on the script according to a script calculation strategy;
the script calculation scheduling program judges whether the calculation result changes or not, if not, the calculation of the current script is ended, and the next script is scanned;
if yes, the script calculation scheduling program judges whether the current script is related to the script, if not, the calculation of the current script is ended, and the next script is scanned;
if so, all the scripts related to the current script are brought into the steps until all the scripts in the script file and the related scripts are scheduled and calculated.
The script file in this embodiment is generated by performing visual editing based on a UI interface of the AGC control device, and the edited script file is downloaded to the AGC control device, where the visual editing includes script input, script check, and saving and compiling. When the AGC control device is powered on and started, the downloaded script file is preloaded, all scripts are read into a shared memory, and a corresponding script calculation strategy is obtained based on the calculation logic of each script.
The logic of script calculation comprises timing execution and trigger execution, wherein the timing execution comprises setting a timing execution cycle period, and the trigger execution comprises setting a trigger source.
Wherein the script computing policy comprises: 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 scheduling calculation of the script file according to whether the state of the trigger source changes.
In the above step, judging whether the script associated with the current script includes searching the script associated with the current script according to the reference relation knowledge base.
The acquisition of the reference relation knowledge base comprises the steps of 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.
Analyzing the reference relationship of all scripts read into the shared memory comprises the following steps:
analyzing all scripts to obtain script names, script input parameters and script output parameters;
storing the script name and script input parameters as key and value into a hash table mapin, and using the hash table mapin as input parameter data set { K }0＝V0，K1＝V1，…，Km＝Vm，…，Kn＝VnIn which K ismDenotes the name of the script, VmIs a List [ x1, x2, xm, …, xn]Representing a script input parameter set, and xm representing a script input parameter;
using script name and script output parameters as keys and valuesStoring the data into a hash table mapout which is used as an output parameter data set { K }0＝W0，K1＝W1，…，Km＝Wm，…，Kn＝WnIn which K ismDenotes the name of the script, WmIs a List [ y1, y2, ym, …, yn]Representing a script output parameter set, and ym representing a script output parameter;
analyzing the input parameter data set and the output parameter data set to obtain the reference relations of all scripts, forming a hash table mapping from the reference relations, and using the hash table mapping as a reference relation knowledge base { K }0＝Z0，K1＝Z1，…，Km＝Zm，…，Kn＝ZnIn which K ismDenotes the name of the script, ZmIs a List [ z1, z2, zm, …, zn]A set of script names representing all scripts referenced, zm represents the script name of the associated script.
Wherein, analyzing the input parameter data set and the output parameter data set to obtain the reference relations of all scripts comprises: and 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.
As shown in fig. 2, taking the trigger execution script as an example:
calling a data interface provided by a local static library file libagc.a, obtaining real-time data, calculating and setting the real-time data into a shared memory;
scanning the state of a trigger source of the current script in real time, if the trigger source meets a trigger condition (the state of the trigger source changes), immediately performing execution calculation of the corresponding script, and if the trigger source does not meet the trigger condition, scanning the script;
judging the result before storing the calculated result into the shared memory, if the calculated result is changed, continuing the next step, otherwise, finishing the calculation;
and obtaining the associated scripts influenced by the executed script result by the script reference relation knowledge base, judging whether the associated scripts exist, if so, sequentially calling the associated scripts to introduce data to execute the calculation according to the calculation result of the current script, and until no associated script exists after the current script is executed or the calculation result is unchanged.
Whether the real-time data trigger or the script calculation result trigger is adopted, the current script also needs to pay attention to identifying effective change when receiving the change, the elimination of the misoperation of a trigger point is determined during editing, a dead zone or a change range which can be effective is specified, and any change can be triggered if the default is not edited.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A hydropower station AGC control device script scheduling calculation method is characterized by comprising the following steps:
scheduling calculation is carried out on the script according to the script calculation strategy;
judging whether the calculation result changes or not, if not, finishing the calculation of the current script and scanning the next script;
if yes, judging whether the current script is associated with the script, if not, finishing the calculation of the current script and scanning the next script;
if so, all the scripts related to the current script are brought into the steps until all the scripts in the script file and the related scripts are scheduled and calculated.
2. The method for calculating the scheduling of the scripts of the AGC control device of the hydropower station according to claim 1, wherein the script file is generated by visual editing based on a UI (user interface) of the AGC control device, and the edited script file is downloaded to the AGC control device, and the visual editing comprises script input, script check and storing and compiling.
3. The scheduling calculation method for the scripts of the hydropower station AGC control device according to claim 2, wherein when the AGC control device is powered on and started, the downloaded script files are preloaded, all the scripts are read into a shared memory, and a corresponding script calculation strategy is obtained based on calculation logic of each script.
4. The method of claim 3, wherein the logic of the script calculation comprises a timed execution and a triggered execution, wherein the timed execution comprises setting a timed execution cycle period, and the triggered execution comprises setting a trigger source.
5. The method of claim 4, wherein the script calculation strategy comprises:
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 scheduling calculation of the script file according to whether the state of the trigger source changes.
6. The method of claim 1, wherein the determining whether the current script is associated with the script comprises searching the script associated with the current script according to a reference relationship knowledge base.
7. The scheduling calculation method of the scripts of the hydropower station AGC control device according to claim 6, wherein the acquisition of the reference relation knowledge base comprises analyzing reference relations of all scripts read into a shared memory to obtain reference relations among the scripts, and generating the reference relation knowledge base based on the reference relations.
8. The method for scheduling and calculating the script of the AGC control device of the hydropower station according to claim 7, wherein the analyzing the reference relationship of all the scripts read into the shared memory includes:
analyzing all scripts to obtain script names, script input parameters and script output parameters;
storing the script name and script input parameters as key and value into a hash table mapin, and using the hash table mapin as input parameter data set { K }0＝V0，K1＝V1，…，Km＝Vm，…，Kn＝VnIn which K ismDenotes the name of the script, VmIs a List [ x1, x2, xm, …, xn]Representing a script input parameter set, and xm representing a script input parameter;
storing the script name and script output parameters as key sum values into a hash table mapout, which is used as an output parameter data set { K }0＝W0，K1＝W1，…，Km＝Wm，…，Kn＝WnIn which K ismDenotes the name of the script, WmIs a List [ y1, y2, ym, …, yn]Representing a script output parameter set, and ym representing a script output parameter;
analyzing the input parameter data set and the output parameter data set to obtain the reference relations of all scripts, forming a hash table mapping from the reference relations, and using the hash table mapping as a reference relation knowledge base { K }0＝Z0，K1＝Z1，…，Km＝Zm，…，Kn＝ZnIn which K ismDenotes the name of the script, ZmIs a List [ z1, z2, zm, …, zn]A set of script names representing all scripts referenced, zm represents the script name of the associated script.
9. The method of claim 8, wherein analyzing the input parameter dataset and the output parameter dataset to obtain a reference relationship between all scripts comprises: and 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.
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