Optimal allocation of energy storage system and its benefit analysis for unbalanced distribution network with wind generation

Battery energy storage system (BESS) can play a major role to overcome the challenges with renewable energy sources, especially in the context of Smart Grid (SG). In this manuscript, BESS optimal location and capacitance of wind power penetrations, and charging/discharging dispatches of BESS are determined using inherited competitive swarm optimization (ICSO) algorithm while improving the performance of the unbalanced distribution network subject to technical constraints. This approach utilizes the average feeder load from decisive criterion for charging or discharging battery. The wind turbine generator (WTG) charging and sustainable average load (SAL) charging methods for BESS are compared considering conservative mode of discharging. The proposed methodology is investigated on IEEE 37 bus unbalanced radial distribution system. The application outcomes displays that proposed methodology enhances various performance objectives of distribution system by optimally coordinating the dispatches of BESS.