CN-122020099-A - Simulated power grid topology generation method and system

CN122020099ACN 122020099 ACN122020099 ACN 122020099ACN-122020099-A

Abstract

The invention discloses a simulated power grid topology generation method and a simulated power grid topology generation system, which are applied to the technical field of power systems, wherein the method comprises the steps of obtaining multi-source scheduling data of a target power grid; the method comprises the steps of processing multisource scheduling data to obtain a fusion data set, processing the fusion data set, constructing scene narrative dynamic fingerprints based on the obtained teaching target matching data and risk working condition coverage breadth data, generating a three-dimensional mapping table, constructing a first topological space and a second topological space according to the fusion data set and the three-dimensional mapping table, processing the first topological space to obtain initial electrical connection, processing the second topological space to obtain a polymorphic topological structure, and processing the initial electrical connection and the polymorphic topological structure to generate a simulated power grid topological model. The method provided by the invention can solve the problem of single-form basic topology generated by a topology generation technology, and realizes the effect of constructing the simulated power grid topology model adapting to multi-scene dimension association.

Inventors

LI ZUXIN
XUE BAI
Zhang Kuichao
YE JINGYUN
Ye Xuanfu
HU YINGJUN
Luo Huida
WANG YUCHEN
WANG ZHIYU
LI JIANXIONG
CHEN ZHIHONG

Assignees

国网浙江省电力有限公司丽水供电公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. A simulated power grid topology generation method, comprising: acquiring multi-source scheduling data of a target power grid; Filtering and grading the multi-source scheduling data to obtain a fusion data set of the target power grid; processing the fusion data set by using a dynamic narrative technology, and constructing a scene narrative dynamic fingerprint based on the obtained teaching target matching data and risk working condition coverage breadth data; generating a three-dimensional mapping table of the target power grid based on the scene narrative dynamic fingerprint; Constructing a first topological space and a second topological space according to the fusion data set and the three-dimensional mapping table, performing electrical topology analysis processing on the first topological space to obtain initial electrical connection, and processing the second topological space by utilizing polymorphic state estimation to obtain a polymorphic topological structure; and processing the initial electrical connection and the polymorphic topological structure by utilizing a polymorphic bridging technology to generate a simulated power grid topological model of the target power grid.
2. The method for generating a simulated power grid topology according to claim 1, wherein the filtering and grading the multi-source scheduling data to obtain the fused dataset of the target power grid comprises: Filtering and grading the multi-source scheduling data to obtain real-time monitoring data, historical operating data and planning data; and carrying out association processing on the real-time monitoring data, the historical operation data and the planning data by using a cluster analysis technology to obtain a fusion data set of the target power grid.
3. The simulated power grid topology generation method of claim 1, wherein said processing said fused dataset using dynamic narrative techniques constructs scene narrative dynamic fingerprints based on obtained teaching target matching data and risk condition coverage breadth data, comprising: processing the fusion data set by using a dynamic narrative technology to obtain teaching target matching data and risk working condition coverage breadth data; And carrying out weighted fusion processing on the teaching target matching degree data and the risk working condition coverage breadth data to obtain the scene narrative dynamic fingerprint of the target power grid.
4. The simulated power grid topology generation method of claim 1, wherein said generating a three-dimensional mapping table of said target power grid based on said scene narrative dynamic fingerprint comprises: Carrying out structural analysis processing on the scene narrative dynamic fingerprint to obtain fingerprint vector structural data; And processing the fingerprint vector structure data by using a dynamic mapping construction technology to obtain a three-dimensional mapping table of the target power grid.
5. The method for generating a simulated power grid topology as recited in claim 1, wherein said constructing a first topology space and a second topology space from said fused dataset and said three-dimensional mapping table comprises: carrying out digital twin binding processing on the fusion data set and the three-dimensional mapping table to obtain digital twin characteristic data; and constructing the first topological space and the second topological space based on the digital twin characteristic data of the target power grid.
6. A simulated power grid topology generation method as claimed in claim 1, wherein said processing said second topology space using polymorphic state estimation to obtain a polymorphic topology comprises: processing the second topological space by utilizing polymorphic state estimation to obtain topology potential change scheme data; And sequentially carrying out safety verification processing and topology integration processing on the topology potential change scheme data to obtain the polymorphic topological structure.
7. The method for generating a simulated power grid topology as recited in claim 1, wherein said processing said initial electrical connection and said multi-state topology using multi-state bridging techniques to generate a simulated power grid topology model of said target power grid comprises: Sequentially performing topology mapping and state conversion processing on the initial electrical connection and the polymorphic topological structure to obtain scene adaptation data; and processing the scene adaptation data by utilizing a three-dimensional topology modeling technology to obtain a simulated power grid topology model of the target power grid.
8. A simulated power grid topology generation system, comprising: the acquisition module is used for acquiring multi-source scheduling data of the target power grid; The fusion module is used for filtering and grading the multi-source scheduling data to obtain a fusion data set of the target power grid; The construction module is used for processing the fusion data set by utilizing a dynamic narrative technology and constructing a scene narrative dynamic fingerprint based on the obtained teaching target matching data and risk working condition coverage breadth data; the generating module is used for generating a three-dimensional mapping table of the target power grid based on the scene narrative dynamic fingerprint; The first processing module is used for constructing a first topological space and a second topological space according to the fusion data set and the three-dimensional mapping table, carrying out electric topology analysis processing on the first topological space to obtain initial electric connection, and processing the second topological space by utilizing polymorphic state estimation to obtain a polymorphic topological structure; and the second processing module is used for processing the initial electrical connection and the polymorphic topological structure by utilizing a polymorphic bridging technology and generating a simulated power grid topological model of the target power grid.
9. The simulated power grid topology generation system of claim 8, said processing said fused dataset using dynamic narrative techniques to construct scene narrative dynamic fingerprints based on derived teaching target match data and risk condition coverage breadth data, comprising: processing the fusion data set by using a dynamic narrative technology to obtain teaching target matching data and risk working condition coverage breadth data; And carrying out weighted fusion processing on the teaching target matching degree data and the risk working condition coverage breadth data to obtain the scene narrative dynamic fingerprint of the target power grid.
10. The simulated power grid topology generation system of claim 8, said generating a three-dimensional map of said target power grid based on said scene narrative dynamic fingerprint comprising: Carrying out structural analysis processing on the scene narrative dynamic fingerprint to obtain fingerprint vector structural data; And processing the fingerprint vector structure data by using a dynamic mapping construction technology to obtain a three-dimensional mapping table of the target power grid.

Description

Simulated power grid topology generation method and system Technical Field The invention relates to the technical field of power systems, in particular to a simulated power grid topology generation method and system. Background In the novel power system construction and the power industry digital transformation, an analog power grid is a main carrier for dispatcher training, power grid safety stability analysis, power grid planning and expansion verification, and reasonable matching of topology and suitability of scenes are important guarantees of relevant work implementation. In the prior art, a single-form basic topology is generated by adopting a fixed rule, only the electrical and physical feasibility is considered, and dimensional relations among a plurality of scenes of a power grid are not considered, so that the existing topology generation technology is difficult to adapt to the operation working conditions of the multi-dimensional power grid, a single-form basic topology model does not conform to an actual power grid, is difficult to adapt to complex scenes, and cannot meet the application requirements of a novel power system. Disclosure of Invention The invention provides a simulated power grid topology generation method and system, which are used for solving the technical problems that the existing topology generation technology does not consider the multi-scene dimension association of a power grid, the generated single-form basic topology is difficult to adapt to the operation condition of the multi-dimensional power grid, does not accord with the actual power grid and cannot meet the requirements of complex scenes, realizing the construction of a simulated power grid topology model adapting to the multi-scene dimension association, further supporting the cooperative interaction of the load and the storage of a source network, the consumption of new energy and the risk coverage of complex working conditions, and enhancing the operation reliability and economy of the power grid. In order to solve the technical problems, the invention provides a simulated power grid topology generation method, which comprises the following steps: acquiring multi-source scheduling data of a target power grid; Filtering and grading the multi-source scheduling data to obtain a fusion data set of the target power grid; processing the fusion data set by using a dynamic narrative technology, and constructing a scene narrative dynamic fingerprint based on the obtained teaching target matching data and risk working condition coverage breadth data; generating a three-dimensional mapping table of the target power grid based on the scene narrative dynamic fingerprint; Constructing a first topological space and a second topological space according to the fusion data set and the three-dimensional mapping table, performing electrical topology analysis processing on the first topological space to obtain initial electrical connection, and processing the second topological space by utilizing polymorphic state estimation to obtain a polymorphic topological structure; and processing the initial electrical connection and the polymorphic topological structure by utilizing a polymorphic bridging technology to generate a simulated power grid topological model of the target power grid. As one preferable solution, the filtering and grading the multi-source scheduling data to obtain a fusion data set of the target power grid includes: Filtering and grading the multi-source scheduling data to obtain real-time monitoring data, historical operating data and planning data; and carrying out association processing on the real-time monitoring data, the historical operation data and the planning data by using a cluster analysis technology to obtain a fusion data set of the target power grid. As one preferable scheme, the processing the fusion data set by using a dynamic narrative technology, and constructing a scene narrative dynamic fingerprint based on the obtained teaching target matching data and risk working condition coverage breadth data, comprises the following steps: processing the fusion data set by using a dynamic narrative technology to obtain teaching target matching data and risk working condition coverage breadth data; And carrying out weighted fusion processing on the teaching target matching degree data and the risk working condition coverage breadth data to obtain the scene narrative dynamic fingerprint of the target power grid. As one preferable scheme, the generating the three-dimensional mapping table of the target power grid based on the scene narrative dynamic fingerprint includes: Carrying out structural analysis processing on the scene narrative dynamic fingerprint to obtain fingerprint vector structural data; And processing the fingerprint vector structure data by using a dynamic mapping construction technology to obtain a three-dimensional mapping table of the target power grid. As one preferable solution, the construc