Optimization configuration of energy storage system considering deep peak regulation and source-load-storage interaction

Abstract

To address the pressure on peak shaving of the power system resulting from the widespread integration of renewable energy to generate electricity with the “dual-carbon” objectives, an optimized configuration regulation method for energy storage systems (ESS) is proposed in this paper. This method considers deep peak shaving and the interaction between sources, loads, and storage. It integrates an operational model that utilizes deep peaking of thermal power units (TPUs) alongside coordinated scheduling of demand-side response (DSR). To account for the uncertainty of renewable energy and the dynamic changes in load demand, the source-load-storage interaction is developed to enhance the responsiveness of ESSs to fluctuations in renewable energy supply and variations in load demand. Simulation results based on four scheduling scenarios demonstrate the effectiveness of the proposed method. Compared with conventional strategies, it reduces total operating cost by 11.35%, unit operating cost by 98.89%, and renewable energy input cost by 69.08%. Simulation results validate the effectiveness of the proposed method in reducing operation costs and increasing the utilization rate of renewable energy. Additionally, it also significantly enhances the flexibility and economic efficiency of the power system while effectively smoothing load fluctuations.