Research on Multi-objective Optimal Configuration of Distributed Energy Storage System

Abstract The purpose is to improve the absorption capacity of new energy generation added power system, distributed storage system (ESS) introduced. Considering as main supply united grid, mathematical model wind-photoelectric-energy constructed. Taking active loss, voltage offset and comprehensive cost objectives, a multi-objective internal external layer optimization device configuration established. outer uses branch bound method locate location storage. In inner layer, NSGA-II algorithm used optimize situation storing or releasing power. Eventually, IEEE 30 node test with for simulation, optimal location, charging/discharging strategy ESS in grid topology are obtained. results verify rationality configured storage, show that can absorb certain extent.