Shared Energy Storage Capacity Allocation for Wind Farm Stations Based on Whale Optimization Algorithm

Due to the singular nature of energy storage’s insufficient flexible and low economic efficiency difficulty in coping with the volatility and uncertainty of wind power grid integration. Therefore, a collaborative shared energy storage grid-connected system for wind farm stations is established to distribute shared energy storage capacity among multiple wind farm stations. Based on the error model of the actual output and planned output of multiple wind power stations, a deviation penalty mechanism is established to fix the price of energy trading and capacity leasing, and the optimal shared energy storage capacity is finally allocated. Through the utilization of the Whale Optimization Algorithm (WOA) to address the model, the proposed capacity allocation method’s rationality is validated. This method effectively reduces wind farm station costs by 9.96%, demonstrating the feasibility and continuity of the shared energy storage model.