Bi-objective Mixed Optimal Planning for Distributed Energy Storage System of Active Distribution System

In this paper, a novel bi-objective mixed optimal planning method for distributed energy storage system in active distribution network is designed to take account of both feasibility and comprehensiveness planning. The direct and indirect objects of optimal planning are respectively designed to represent the effect and cost of distributed energy storage system. Above two optimal objects are integrated through dimensionless processing. The weights of two optimal objects are determined through the combination of relative comparison method and entropy method. Based on historical data, simulation on IEEE-33 nodes radial distribution network is set up and analyzed by using LINGO and MATPOWER. The simulation results demonstrate the effectiveness of the proposed method.