Optimal operation strategy of energy storage system considering forecasting error of wind power generation under different weather condition

Energy Storage Systems (ESS) play a crucial role in mitigating the fluctuations in output from renewable energy sources. While the energy constraint limits the operation of ESS, especially for the existing optimization models without considering the energy capacity constraints. This paper presents an optimal operation strategy for ESS based on Model Predictive Control (MPC). The strategy accounts for wind power forecasting errors under various weather conditions, with two distinct analytical models used to characterize these uncertainties. Case studies demonstrate the effectiveness of the proposed MPC approach, highlighting its superiority in optimizing ESS operation. Furthermore, the study investigates the impact of forecasting errors on the ESS operation strategy and demonstrates the robustness of the MPC approach in handling such uncertainties.