Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology
The seamless integration of swift and precise topological analysis with state estimation is crucial for ensuring the dependability, stability, and efficiency of the power system. In response to this need, this paper introduced a novel approach to constructing a spatiotemporal “Power Grid...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Open Access Journal of Power and Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10632043/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832592852803125248 |
|---|---|
| author | Zhen Dai Shouyu Liang Yachen Tang Jun Tan Guangyi Liu Qinyu Feng Xuanang Li |
| author_facet | Zhen Dai Shouyu Liang Yachen Tang Jun Tan Guangyi Liu Qinyu Feng Xuanang Li |
| author_sort | Zhen Dai |
| collection | DOAJ |
| description | The seamless integration of swift and precise topological analysis with state estimation is crucial for ensuring the dependability, stability, and efficiency of the power system. In response to this need, this paper introduced a novel approach to constructing a spatiotemporal “Power Grid One Graph” model using a graph database, enabling rapid topological analysis and state estimation. Initially, a spatiotemporal power grid model was created by merging grid topology with dynamically updated telemetry and telesignaling data. Subsequently, utilizing the graph model and entity mapping, the spatiotemporal node-breaker graph model was obtained and the corresponding bus-branch model was generated. Based on the node-breaker graph model, topological error identification was conducted, and a fast topological analysis optimization algorithm, considering component functionality, was applied to update the bus-branch graph model, facilitating graph-based state estimation. Finally, the proposed method was validated on a real power system, and its application, along with performance enhancements of the spatiotemporal power grid model considering topological changes, was investigated. The presented method provides both theoretical and practical support for the digital transformation of the power system and the advancement of the digital twin power grid. |
| format | Article |
| id | doaj-art-4212b914424848a5958489caa5fca93a |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-4212b914424848a5958489caa5fca93a2025-01-21T00:03:02ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011139640910.1109/OAJPE.2024.344021810632043Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph MethodologyZhen Dai0Shouyu Liang1Yachen Tang2https://orcid.org/0000-0002-6904-3071Jun Tan3Guangyi Liu4https://orcid.org/0000-0001-9822-2039Qinyu Feng5Xuanang Li6China Southern Power Grid Digital Grid Research Institute Company Ltd., Guangdong, ChinaChina Southern Power Grid Digital Grid Research Institute Company Ltd., Guangdong, ChinaUnivers, Santa Clara, CA, USAUnivers, Santa Clara, CA, USAUnivers, Santa Clara, CA, USAChina Southern Power Grid Digital Grid Research Institute Company Ltd., Guangdong, ChinaChina Southern Power Grid Digital Grid Research Institute Company Ltd., Guangdong, ChinaThe seamless integration of swift and precise topological analysis with state estimation is crucial for ensuring the dependability, stability, and efficiency of the power system. In response to this need, this paper introduced a novel approach to constructing a spatiotemporal “Power Grid One Graph” model using a graph database, enabling rapid topological analysis and state estimation. Initially, a spatiotemporal power grid model was created by merging grid topology with dynamically updated telemetry and telesignaling data. Subsequently, utilizing the graph model and entity mapping, the spatiotemporal node-breaker graph model was obtained and the corresponding bus-branch model was generated. Based on the node-breaker graph model, topological error identification was conducted, and a fast topological analysis optimization algorithm, considering component functionality, was applied to update the bus-branch graph model, facilitating graph-based state estimation. Finally, the proposed method was validated on a real power system, and its application, along with performance enhancements of the spatiotemporal power grid model considering topological changes, was investigated. The presented method provides both theoretical and practical support for the digital transformation of the power system and the advancement of the digital twin power grid.https://ieeexplore.ieee.org/document/10632043/“Power Grid One Graph,” graph databasegraph computingnode-breaker graph modelgraph topological analysisstate estimation |
| spellingShingle | Zhen Dai Shouyu Liang Yachen Tang Jun Tan Guangyi Liu Qinyu Feng Xuanang Li Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology IEEE Open Access Journal of Power and Energy “Power Grid One Graph,” graph database graph computing node-breaker graph model graph topological analysis state estimation |
| title | Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology |
| title_full | Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology |
| title_fullStr | Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology |
| title_full_unstemmed | Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology |
| title_short | Efficient State Estimation Through Rapid Topological Analysis Based on Spatiotemporal Graph Methodology |
| title_sort | efficient state estimation through rapid topological analysis based on spatiotemporal graph methodology |
| topic | “Power Grid One Graph,” graph database graph computing node-breaker graph model graph topological analysis state estimation |
| url | https://ieeexplore.ieee.org/document/10632043/ |
| work_keys_str_mv | AT zhendai efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology AT shouyuliang efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology AT yachentang efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology AT juntan efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology AT guangyiliu efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology AT qinyufeng efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology AT xuanangli efficientstateestimationthroughrapidtopologicalanalysisbasedonspatiotemporalgraphmethodology |