CN116885700A - Power grid model splicing method and system - Google Patents

Power grid model splicing method and system Download PDF

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Publication number
CN116885700A
CN116885700A CN202310726651.8A CN202310726651A CN116885700A CN 116885700 A CN116885700 A CN 116885700A CN 202310726651 A CN202310726651 A CN 202310726651A CN 116885700 A CN116885700 A CN 116885700A
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China
Prior art keywords
power grid
model
models
local
splicing
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CN202310726651.8A
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Chinese (zh)
Inventor
王亚军
马斌
孙广辉
李功铭
李娅
袁博
王梦迪
宋博言
王鹏
汤磊
崔波
彭晓博
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
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Priority to CN202310726651.8A priority Critical patent/CN116885700A/en
Publication of CN116885700A publication Critical patent/CN116885700A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application discloses a power grid model splicing method and a system, wherein the method comprises the following steps: acquiring power grid models and state estimation section data of all areas within a set geographical range, and reading data of local regional power grid models; cutting the power grid models of all areas according to the degree of tightness of the topological structure of the local power grid model, and splicing the power grid models of all areas with the local power grid model to form a spliced model; and carrying out state estimation calculation on the spliced model, and providing the spliced model externally in a service mode when a calculation result is available. According to the application, by splicing all regional power grids within the set geographical range with the regional power grid model to which the local power grids belong, the qualification rate of the state estimation calculation result is improved, more accurate power grid models and data are provided, and the safety of the power grid is ensured.

Description

Power grid model splicing method and system
Technical Field
The application relates to the technical field of power grid calculation, in particular to a power grid model splicing method and system.
Background
With the rapid formation of an extra-high voltage alternating current-direct current series-parallel large power grid and the increasingly strict requirements of modern production on the quality of electric energy, the operation and control of an electric power system become more and more complex. The accuracy of the calculation result of the network analysis application of the intelligent power grid dispatching control system directly influences the power grid operation control and the safety level.
At present, an extra-high voltage power grid is mainly used as a main grid frame in the power grid field, power grids in different areas are closely interconnected, each power grid model only comprises a direct-tuning plant station model in the area, accuracy of a calculation result is affected under the condition that adjacent power grid models are absent, and the power grid model with accurate data is particularly important for improving the capability of controlling large power grids by regulatory personnel.
Disclosure of Invention
In view of this, the embodiments of the present application are directed to providing a method and a system for splicing power grid models, so as to solve the problem in the prior art that the calculation result is not accurate enough due to the lack of adjacent power grid models in different areas.
According to an aspect of the embodiment of the present application, there is provided a power grid model splicing method, including:
acquiring power grid models and state estimation section data of all areas within a set geographical range, and acquiring data of local regional power grid models;
cutting the power grid models of all the areas according to the tightness degree of the topological structure between the power grid models of all the areas and the local area power grid model, and reserving the power grid models with the association degree with the local area power grid model being larger than a set association degree threshold;
splicing the cut power grid model with a power grid model of a local area to obtain a spliced model;
and testing the splicing model, and providing the splicing model externally in a service mode under the condition that the testing result of the splicing model is available.
In an embodiment, clipping the power grid models of all the regions according to the degree of tightness of the topology structure between the power grid models of all the regions and the local power grid model of the region includes:
cutting plant station models with the correlation degree with the local regional power grid model of which the correlation degree is more than 500kV or more than a set correlation degree threshold value in the power grid models of all the regions;
and cutting out the plant station model of 220kV or above in the local regional power grid model.
In one embodiment, the splice model is stored in the form of a protobuf protocol binary data stream.
In one embodiment, testing the splice model includes:
and measuring and mapping the cut power grid models of all the areas and the local power grid model of the area, and performing state estimation calculation on the spliced model.
In an embodiment, performing measurement mapping on the cut power grid models of all the areas and the local area power grid model includes:
measuring and mapping the cut power grid models of all areas by analyzing the power grid state estimation section data of all areas;
and carrying out measurement mapping on the local regional power grid model by reading data acquired by the data acquisition and monitoring control system in real time on the local regional power grid.
In an embodiment, performing a state estimation calculation on the stitching model includes:
determining a convergence state of a calculation result of performing state estimation calculation on the spliced model:
if the calculation result of the state estimation calculation diverges, stopping calculation;
if the calculation result of the state estimation calculation converges, the current result is saved as a historical section.
According to another aspect of an embodiment of the present application, there is provided a power grid model splicing system, including:
the clipping module clips the power grid models of all the areas according to the tightness degree of the topological structure between the power grid models of all the areas and the local area power grid model, and reserves the power grid model with the association degree with the local area power grid model larger than a set association degree threshold;
the splicing module splices the cut power grid model with the power grid model of the local area to obtain a spliced model;
and the test module is used for testing the splicing model and providing the splicing model outwards in a service mode under the condition that the test result of the splicing model is available.
Optionally, the clipping module clips the power grid models of all the regions according to the tightness degree of the topological structure between the power grid models of all the regions and the local power grid model of the region, including:
when the power grid models of all the areas are cut, plant station models, of which the correlation degree with the local power grid model of the area is more than 500kV or more, of the power grid models of all the areas are cut;
and cutting out the plant station model of 220kV or above in the local regional power grid model.
Optionally, the testing module tests the splicing model, including:
and measuring and mapping the cut power grid models of all the areas and the local power grid model of the area, and performing state estimation calculation on the spliced model.
Optionally, the measuring mapping is performed on the cut power grid models of all the areas and the local power grid model of the area, including:
measuring and mapping the cut power grid models of all areas by analyzing the power grid state estimation section data of all areas;
the method comprises the steps that data acquired by a data acquisition and monitoring control system in real time for a local regional power grid are read, and measurement mapping is conducted on a local regional power grid model;
performing state estimation calculation on the splicing model, including:
determining a convergence state of a calculation result of performing state estimation calculation on the spliced model:
if the calculation result of the state estimation calculation diverges, stopping calculation;
if the calculation result of the state estimation calculation converges, the current result is saved as a historical section.
According to the power grid model splicing method and system provided by the application, the power grid models of all areas in the set geographical range are cut and spliced with the local area power grid model, so that the state data of the local power grid model is enriched, the spliced power grid model has a more complete structure, and the obtained data is more accurate. By adopting the technical scheme of the application, the obtained more complete power grid model provides more accurate data of calculation results, improves the accuracy of the calculation results of the related power grid model, improves the capability of regulating and controlling personnel to drive a large power grid, and ensures the safe and stable operation of the power grid.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a power grid model splicing method according to an embodiment of the application.
Fig. 2 is a schematic diagram of a power grid model splicing system according to another embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Exemplary method
The embodiment of the application provides a power grid model splicing method, which is applied to the fields of power grid splicing technology and the like. Fig. 1 is a schematic flow chart of a power grid model splicing method according to an embodiment of the present application. As shown in fig. 1, in this embodiment, the proposed power grid model splicing method includes:
s101, acquiring power grid models and state estimation section data of all areas in a set geographical range, and acquiring data of a local regional power grid model.
Optionally, the set geographic range in all the areas within the set geographic range may be nationwide or a certain area, such as a north China area, a north east area, etc., and all the areas within the corresponding set geographic range may refer to all provinces in the whole country or all cities in the whole province; the local area may be an area of a certain province or a certain city; the power grid model refers to a model diagram capable of representing power grid distribution conditions and power grid associated lines and data distribution of different areas, and in addition, the state estimation section data is state estimation calculation result data generated after state estimation calculation is carried out through a power grid data analysis platform, and meanwhile, the state estimation section data comprises plant station model information and measurement information which meet acquisition standards.
In this step, when acquiring state estimation section data of all areas within a set geographical range, the time interval is acquired every 5 minutes, and in this embodiment, the power grid analysis application platform in the local area, that is, the power grid analysis application of this province or self-service of this city is mainly utilized when acquiring the power grid model. When the data of the local regional power grid model is acquired, station information and measurement information meeting the standard are acquired, preparation is made for later model splicing, and in addition, the acquisition of the state estimation section data can provide base state power flow information for static safety analysis and dispatcher power flow.
In the step S101, the obtained power grid models and state estimation section data of all areas within the set geographical range are stored in the form of protobuf binary data stream.
S102, cutting the power grid models of all the areas according to the compactness of the topological structure between the power grid models of all the areas and the local power grid model of the area.
The topology generally refers to the interrelationship among various nodes in the network, and in this embodiment, the topology represents the association relationship among the power grid models in different areas. When the steps are performed, a relevance threshold capable of representing the degree of compactness is set according to the degree of compactness of the topological structure of all regional power grid models and the regional power grid model to which the local power grid model belongs, binary data of all acquired regional power grid models are analyzed before the cutting is performed, and then plant station models with the relevance of 500kV or more with respect to the regional power grid model to which the local power grid model belongs in the power grid models of all the regions are cut by taking inter-network connecting lines as boundaries.
In addition, the local regional power grid model needs to be cut, based on the characteristic that the local regional model is easy to obtain data, the power grid model data in the local region can be obtained in real time, and when the local regional power grid model is cut, the station model of 220kV or above in the local regional power grid model is cut.
And S103, splicing the cut power grid model with the power grid model of the local area to obtain a spliced model.
Specifically, when splicing the cut models, in this embodiment, an analysis application platform in the local area is mainly utilized, 500kV and 1000kV plant station boundary lines of the local area power grid model are used as boundaries, all the area power grid models in the cut set geographic range and the local area power grid model are spliced, and then binary file analysis is performed on the spliced models by using the analysis application platform in the local area, and protobuf protocol binary data of the spliced models are generated. The main information and attribute description of the spliced model in this embodiment are shown in table 1:
TABLE 1
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S104, testing the splicing model, and providing the splicing model externally in a service mode under the condition that the test result is available.
Specifically, the testing of the splicing model in this embodiment mainly includes: and measuring and mapping the cut power grid models of all the areas and the local power grid model of the area, and performing state estimation calculation on the spliced model.
When the model is subjected to measurement mapping, since the data sources of the power grid models of all the areas in the set geographical range and the power grid models of the areas to which the local areas belong are different, in the embodiment of the step, the measurement mapping operation is performed on the power grid models of all the areas and the power grid models of the areas to which the local areas belong respectively, so that the accuracy of the calculation result of the data is higher.
When the measurement mapping is carried out on the power grid models of all the areas, the analysis application platform in the area of the local area is mainly utilized, and the state estimation section data of the power grids of all the areas are analyzed to complete the measurement mapping of the partial power grid models. The measurement data comprises measurement information and state quantity information, wherein the measurement information comprises voltage, current, active and reactive information of a plant station, and the state quantity information comprises switch and disconnecting link information.
In addition, when the local regional power grid model is subjected to measurement mapping, the local regional power grid model is subjected to measurement mapping mainly by reading data acquired by the data acquisition and monitoring control system in real time, and when the local regional power grid model is subjected to measurement mapping, the measurement data comprise measurement information and state quantity information, wherein the measurement information comprises voltage, current, active and reactive information of a plant station, and the state quantity information comprises switch and disconnecting link information.
Further, the method further comprises the step of carrying out state estimation calculation on the spliced model, wherein in the process of carrying out state estimation calculation, the convergence state of the state estimation calculation result of the spliced model is mainly analyzed, and the comprehensive availability of the state estimation calculation result of the spliced model is judged by judging the convergence state of the data calculation result and combining the qualification rate of the data calculation result.
The result about the convergence state is mainly divided into two types, and if the calculation result of the state estimation calculation diverges, the calculation is stopped; if the calculation result of the state estimation calculation converges, the current result is saved as a historical section.
When the calculation result of the state estimation diverges, the method indicates that the useful data in the spliced model at the moment is less, and effective data cannot be provided for analysis application of the power grid model, so that when the calculation result diverges, the state estimation calculation is stopped; when the state estimation calculation result is converged, the condition that the power grid model is subjected to state estimation calculation is available is indicated, so that the reliability of section data in the power grid model in a state that the calculation result is converged is higher, more accurate power grid model and section data can be provided for an analysis application platform in a local area, and the accuracy of the calculation result is improved.
Furthermore, through the measurement mapping operation, the state estimation calculation result is a splicing model in a convergence state, so that the requirement of providing service to the outside can be met. After packaging the spliced model meeting the requirements, the available spliced model is externally provided in a service mode, and in the embodiment, the model service can also provide power grid model and section data for applications such as online safety analysis and automatic voltage control.
In order to better understand the power grid model splicing method provided by the embodiment, taking a north-south power grid as an example, the overall flow comprises: the Hebei province dispatching network analysis application respectively acquires a national power grid model and national state estimation section data from the Huadong site of the national regulation and control cloud platform in a service mode through a wide area service bus, and reads the real-time library station equipment information of the new-generation dispatching technical support system platform to acquire power grid model data in the province; the provincial and regulatory network analysis application respectively analyzes, cuts and splices the provincial power grid model and the provincial and external power grid model; and reading and mapping the station measurement data in and out of the province, carrying out state estimation calculation on the spliced power grid model, and storing the current result as a historical section when the calculation result is available so as to provide an available spliced model externally in a service mode.
Exemplary System
Fig. 2 is a schematic diagram of a power grid model splicing system according to another embodiment of the present application, as shown in fig. 2, the power grid model splicing system proposed in this embodiment mainly includes the following modules:
the acquiring module 201 is mainly used for acquiring power grid models and state estimation section data of all areas within a set geographical range and acquiring data of a local area power grid model.
Optionally, in this embodiment, when the obtaining module works, an obtaining operation is performed on the state estimation section data of all the areas within the set geographical range every 5 minutes, where the obtained state estimation section data includes, but is not limited to, station information and measurement information that meet the standard. The state estimation section data obtained by the obtaining module is used for preparing data for splicing the following power grid models, and the obtaining of the state estimation section data can also provide base state power flow information for static safety analysis and dispatcher power flow.
The acquired state estimation section data are stored in the acquisition module in the form of a protobuf protocol binary data stream.
The clipping module 202 is configured to clip, among the power grid models of all the regions within the set geographic range, a power grid model that has a strong association with the local power grid model.
Optionally, in this embodiment, the clipping basis of the clipping module mainly sets the tightness degree of the topological structure between the power grid models of all regions in the geographic range and the local power grid model of the region, and the splicing system sets a relevance threshold representing the tightness degree according to the actual working requirement. And then, the clipping module takes the inter-network connecting line as a boundary, and selects a plant station model with the association degree with the local regional power grid model being more than 500kV or more than a set association degree threshold value from the power grid models of all the regions according to the data acquired by the acquisition module to clip.
In addition, the clipping module in the embodiment clips the plant station model of 220kV and above in the local regional power grid model, so that the subsequent clipping module can obtain more data information.
And the splicing module 203 is used for splicing the power grid model cut by the cutting module.
When splicing the cut models, the splicing module in the embodiment combines partial functions of the analysis application platform in the local area, takes the 500kV and 1000kV factory station boundary lines of the local area power grid model as boundaries, splices the power grid model cut by the cutting module, analyzes binary files of the spliced power grid model by using the analysis application platform in the local area, and generates protobuf protocol binary data of the splicing model. The main information and the attribute of the splicing model obtained by the splicing module are consistent with those of the above exemplary method.
And the testing module 204 is used for testing the splicing model obtained by the splicing module. The main operations of the test module in this embodiment include: and performing measurement mapping on the power grid models of all the areas and the local power grid model of the area after being cut by the cutting module, and performing state estimation calculation on the spliced model obtained by the splicing module. When the test module performs measurement mapping operation, in order to improve accuracy of data calculation results, measurement mapping is performed on all the regional power grid models and the regional power grid models to which the regions belong.
In this embodiment, when the test module performs measurement mapping on all the regional power grid models, the analysis application platform in the local area is mainly used to analyze the data of all the regional power grid models to complete measurement mapping. In this embodiment, when the test module performs measurement mapping, the measurement data includes, but is not limited to, several information, such as measurement information including voltage, current, active and reactive information of the plant station, and state quantity information including switch and knife switch information.
Because the power grid models of all areas in the set geographic range and the power grid models of the areas to which the local areas belong have different data sources, the measurement mapping of the test module to the local area power grid models is completed by reading the data acquired by the data acquisition and monitoring control system in real time. Similarly, the measurement data when the local area is subjected to measurement mapping is consistent with the measurement data information of all the areas.
In addition, the function of the test module in the embodiment of the application further comprises the step of carrying out state estimation calculation on the spliced model obtained by the spliced module, and the purpose of carrying out state estimation calculation is mainly to judge whether the tested spliced model meets the requirement of external use according to the convergence state of the state estimation calculation result and the qualification rate of the data calculation result.
The test module divides the convergence state of the state estimation calculation result into convergence and divergence, if the calculation result of the state estimation calculation diverges, the test module stops the state estimation calculation operation, and if the calculation result of the state estimation calculation converges, the test module saves the current result as the historical section information.
In the measurement mapping operation through the test module and the state estimation calculation result is a splicing model in a convergence state, more accurate power grid model and section data can be provided for staff, and the accuracy of power grid data calculation is improved.
The above-described grid model splicing system belongs to a computer program written in a machine language and a programming language, and the program code for performing the functions described in the embodiments of the present application may be written in any combination of one or more programming languages, including, but not limited to, machine languages such as python, java, and javascript. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
The readable storage medium of the computing device may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. The utility model provides a power grid model splicing method which is characterized by comprising the following steps:
acquiring power grid models and state estimation section data of all areas within a set geographical range, and acquiring data of local regional power grid models;
cutting the power grid models of all the areas according to the tightness degree of the topological structure between the power grid models of all the areas and the local area power grid model, and reserving the power grid models with the association degree with the local area power grid model being larger than a set association degree threshold;
splicing the cut power grid model with a power grid model of a local area to obtain a spliced model;
and testing the splicing model, and providing the splicing model externally in a service mode under the condition that the testing result of the splicing model is available.
2. The method for splicing the power grid models according to claim 1, wherein the step of clipping the power grid models of all the regions according to the degree of tightness of the topological structure between the power grid models of all the regions and the local power grid model of the region comprises the steps of:
cutting plant station models with the correlation degree with the local regional power grid model of which the correlation degree is more than 500kV or more than a set correlation degree threshold value in the power grid models of all the regions;
and cutting out the plant station model of 220kV or above in the local regional power grid model.
3. The method of grid model splicing according to claim 1, wherein the splicing model is stored in the form of a protobuf protocol binary data stream.
4. The method of grid model stitching according to claim 1, wherein testing the stitching model comprises:
and measuring and mapping the cut power grid models of all the areas and the local power grid model of the area, and performing state estimation calculation on the spliced model.
5. The method for splicing power grid models according to claim 4, wherein the measuring mapping of the power grid models of all the cut areas and the local area power grid model comprises:
measuring and mapping the cut power grid models of all areas by analyzing the power grid state estimation section data of all areas;
and carrying out measurement mapping on the local regional power grid model by reading data acquired by the data acquisition and monitoring control system in real time on the local regional power grid.
6. The method of power grid model stitching according to claim 4, wherein performing a state estimation calculation on the stitching model comprises:
determining a convergence state of a calculation result of performing state estimation calculation on the spliced model:
if the calculation result of the state estimation calculation diverges, stopping calculation;
if the calculation result of the state estimation calculation converges, the current result is saved as a historical section.
7. A grid model stitching system, comprising:
the acquisition module is used for acquiring power grid models and state estimation section data of all areas in a set geographical range and acquiring data of local regional power grid models;
the clipping module is used for clipping the power grid models of all the areas according to the tightness degree of the topological structure between the power grid models of all the areas and the local power grid model of the area, and reserving the power grid models with the association degree larger than a set association degree threshold value with the local power grid model of the area; the splicing module is used for splicing the cut power grid model with the power grid model of the local area to obtain a spliced model; and the test module is used for testing the splicing model and providing the splicing model outwards in a service mode under the condition that the test result of the splicing model is available.
8. The grid model stitching system of claim 7 wherein the clipping module clips the grid models of all regions according to how tightly the topology is between the grid models of all regions and the local-area grid model, comprising:
when the power grid models of all the areas are cut, plant station models, of which the correlation degree with the local power grid model of the area is more than 500kV or more, of the power grid models of all the areas are cut;
and cutting out the plant station model of 220kV or above in the local regional power grid model.
9. The grid model stitching system of claim 7, wherein the test module testing the stitching model comprises:
and measuring and mapping the cut power grid models of all the areas and the local power grid model of the area, and performing state estimation calculation on the spliced model.
10. The grid model stitching system according to claim 9, wherein measuring and mapping the trimmed grid models of all regions and the locally-owned regional grid model comprises:
measuring and mapping the cut power grid models of all areas by analyzing the power grid state estimation section data of all areas;
the method comprises the steps that data acquired by a data acquisition and monitoring control system in real time for a local regional power grid are read, and measurement mapping is conducted on a local regional power grid model;
performing state estimation calculation on the splicing model, including:
determining a convergence state of a calculation result of performing state estimation calculation on the spliced model:
if the calculation result of the state estimation calculation diverges, stopping calculation;
if the calculation result of the state estimation calculation converges, the current result is saved as a historical section.
CN202310726651.8A 2023-06-19 2023-06-19 Power grid model splicing method and system Pending CN116885700A (en)

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