Multi-objective configuration optimization model of shared energy storage on the power side

Abstract

With the continuous growth of distributed renewable energy sources, it has become particularly important to optimize the configuration of shared energy storage (SES) for effective management in power-side energy. Therefore, the study focuses on the centralized shared energy storage on power side and investigates its configuration optimization model. Firstly, the study designs a double-layer control strategy for SES based on model predictive control (MPC). The upper layer aims to compensate wind power forecast bias for determining the charging and discharging requirements, while the lower layer uses MPC to smooth out wind power fluctuation to optimize the charging and discharging strategies. Secondly, this double-layer control strategy is applied to the configuration process of SES by constructing a multi-objective configuration optimization model. The model aims to maximize the typical daily operating benefit of SES, compensate wind power forecast bias and smooth out wind power fluctuation. Thirdly, the multi-objective Harris Hawk optimization (MOHHO) algorithm is used to solve and determine the optimal configuration scheme. Finally, the case shows that SES may smooth out wind power fluctuation by about 26 MW/month. It verifies the effectiveness and superiority of the model in practical application. The study shows that the model proposed provides new perspective and method for the optimal configuration of SES on the power side, which is expected to achieve higher economic benefit and system stability.