Research and Application of Topology Analysis Method for Large-scale Distribution Grids
Yingda Chen, Kequan Lin, Weigui Bai, Jialin Yan, Longwu Zhang · 2022 China International Conference on Electricity Distribution (CICED) · 2022
With the increasing number of distribution grid equipment, the scale of distribution grids becomes larger and larger, and the structure becomes more and more complex. Efficiently storing, managing and analyzing massive distribution grid topological data is the key to improving the digitization and intelligence level of grids. Aiming at constructing a large-scale distribution grid topology analysis platform, firstly, the graph model representation and construction method of grid data is designed, and a grid topology data storage method based on the distributed graph database is proposed. Then, optimizing the storage structure and using a hot cache policy accelerates the topology analysis speed of large-scale grid graph data; The unified graph model representation for grid historical data improves topology analysis capability and data utilization rate. Finally, a topology analysis platform for large-scale data is built to support applications in distribution grids. The experiment results show that compared with the traditional method, the proposed grid topology analysis platform can significantly improve the performance of grid data query and topology analysis, and provide technical support for the intelligent operation of distribution grids.