Research on electric vehicle distribution network map segmentation method

This paper proposes a distribution network graph segmentation method that aims to optimize the charging strategy of electric vehicles to reduce the impact on the grid and improve the overall efficiency. The study first builds a charging demand model for electric vehicles, and then uses Louvain's algorithm and spectral clustering algorithm to segment the distribution network into communities to identify and isolate high-demand areas. Finally, the quality of segmentation is determined by solving for modularity.