Research on Parallel Analysis of Power Grid Graph Data

摘要

In recent years, with the deepening of smart grid construction, the data generated by power grid operation have increased rapidly, and the power grid big data environment has gradually formed. The power grid data management based on graph data has gained more and more attention, and its efficient storage and processing have become a research hotspot. In this paper, a subgraph partitioning algorithm for power grid graph data is developed. The power grid graph data are partitioned into multiple subgraphs, and then a parallel topology analysis algorithm for multiple subgraphs is proposed. Related experiments show that the parallel analysis scheme of power grid graph data is effective and meets the actual needs of power grid graph data.