An active distribution grid dynamic partitioning method based on an improved binary PSO algorithm

Abstract With a large amount of renewable energy access, the operation and management of distribution networks face new challenges. In order to improve the operation efficiency and stability of distribution networks, this paper proposes an active distribution network dynamic partitioning method based on the improved binary particle swarm optimization (PSO) algorithm. The method first defines the comprehensive indexes of distribution network partitioning, including the modularity degree based on the comprehensive equivalent electrical distance, and the active-reactive power balance degree. The traditional binary PSO algorithm has been enhanced to address the dynamic partitioning problem in distribution networks. This improvement involves initializing the population using chaotic mapping and implementing adaptive scale selection, which boosts the algorithm’s global search capability and convergence speed. Additionally, a partitioning structure and an update trigger mechanism have been designed to further optimize the process. Simulation results of the IEEE33 node system show that the proposed method can effectively improve the performance of the distribution network.