Optimal Planning of Substation Locating and Sizing Based on Refined Multi-team PSO Algorithm

A new intelligent algorithm, refined multi-team particle swarm optimization algorithm (RMPSO), is presented to handle optimal substation locating and sizing problem. In RMPSO, particles are affected not only by local and global optima, but also by team’s optima. In evolution process, the fitness variances is applied for monitoring overlapping condition of the swarms and impose the team optima mutation to avoid premature phenomena. The model of the problem involving both the substation construction investment and the geographic information makes the given solution more practical in distribution planning process. The proposed RMPSO is tested by a realistic planning project to verify the effectiveness and feasibility.