An Efficient MVMO-SH Method for Optimal Capacitor Allocation in Electric Power Distribution Systems

摘要

This paper proposes an efficient method for optimal capacitor allocation in electric power distribution systems. The proposed method is based on a new metaheuristic method, MVMO (Mean Variance Mapping Optimization) that makes use of information on the mean and variance of archives through the mapping function. The optimal capacitor allocation is aimed at minimizing the active power network losses under some constraints with capacitor banks. The mathematical formulation results in a combinatorial optimization problem. In this paper, MVMO-SH is proposed to evaluate better solutions. It introduces swarm intelligence into MVMO that finds out better solutions with the mean and variance obtained from the archives. It improves the performance of MVMO with the multi-point search and multi-parent crossover. The proposed method is successfully applied to the IEEE 69-bus and 119-bus electric power distribution systems.