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 One Gr...

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Bibliographic Details
Published in:IEEE open access journal of power and energy 2024, Vol.11, p.396-409
Main Authors: Dai, Zhen, Liang, Shouyu, Tang, Yachen, Tan, Jun, Liu, Guangyi, Feng, Qinyu, Li, Xuanang
Format: Article
Language:English
Subjects:
Analytical models
Computational modeling
Data models
graph computing
graph database
graph topological analysis
node-breaker graph model
Power Grid One Graph
Power grids
Power system stability
Spatiotemporal phenomena
State estimation
“Power Grid One Graph,” graph database
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Summary: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.
ISSN:2687-7910
2687-7910
DOI:10.1109/OAJPE.2024.3440218