Volume 33: CCUS Technologies for the Carbon Neutrality: Part I

Optimal operation of multiple shared energy storage systems for load peak shaving Huqing Zhang, Xiaoling Song

Abstract

High penetration of renewable energy presents great challenges in the operation of a distribution grid, and load peak shaving and power smoothing cannot be ignored. The application of multiple shared energy storage systems is a promising solution to this problem. Therefore, in order to analyze the capability of multiple shared energy storage systems to smooth the aggregators’ total load curve, this paper proposes a day-ahead peak shaving model to optimize the coordinated operation strategy of energy storage and PV distributed generation systems. This model aims to minimize the residual load peak-to-valley difference, and comparative analyses are conducted. The results show that the proposed model can provide peak shaving effectively, and the application of multiple shared energy storage systems can enhance the stability of the combined net load.

Keywords Shared energy storage systems, optimal operation, peak shaving, load smoothing, linear programming