Research on Multi-sub-Graph Parallel Analysis Method for Power Grid Graph Data
Yan Xing Song, Tianyu Pang, Quanjiang Shen · 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) · 2019
In recent years, with the expansion of power grid scale and in-depth information construction, the data generated by the operation of power grid information system has increased rapidly, and the power big data environment has gradually formed. The power grid graph data has gradually become an important data storage and analysis solution due to its good support for power grid topology analysis, which is used as the basis for analysis of power grid business systems. In this paper, a multi-sub-graph parallel analysis method based on region partitioning is proposed. Firstly, the power grid graph data is divided into multiple sub-graphs based on region attributes, and then a parallel analysis algorithm for multiple sub-graphs is proposed. Related experiments show that the parallel analysis scheme of power grid graph data is effective and can meet the actual needs of power grid graph.