Optimization strategy of configuration and scheduling for user‐side energy storage

In order to reduce the impact of load power fluctuations on the power system and ensure the economic benefits of user‐side energy storage operation, an optimization strategy of configuration and scheduling based on model predictive control for user‐side energy storage is proposed in this study. Firstly, considering the cost and benefits of energy storage comprehensively, an energy storage configuration optimization model with the highest annualized net income as the goal is built to determine the parameters for configuring energy storage. Then, with the goal of maximizing the profit during the scheduling period, pre‐month scheduling optimization model, day‐ahead scheduling optimization model and intra‐day scheduling optimization model are established. The goal of the pre‐month scheduling optimization model is to determine the maximum monthly demand; part of the scheduling results in the day‐ahead scheduling optimization model directly participate in the intra‐day scheduling; the intra‐day rolling optimization relies on the advantages of real‐time feedback and closed‐loop scheduling to smooth out power fluctuations caused by load forecast errors. Finally, the configuration and economic benefit of lithium iron phosphate batteries, lead‐carbon batteries and sodium‐sulfur batteries are analyzed and compared, and scheduling analysis is performed. The simulation results show that the proposed optimization method can cut peaks and fill valleys, ensure the economic benefits of users, and provide guidance for users to invest in energy storage.