In this paper, we address the energy storage management problem indistribution networks from the perspective of an independent energy storagemanager (IESM) who aims to realize optimal energy storage sharing withmulti-objective optimization, i.e., optimizing the system peak loads and theelectricity purchase costs of the distribution company (DisCo) and itscustomers. To achieve the goal of the IESM, an energy storage sharing strategyis therefore proposed, which allows DisCo and customers to control the assignedenergy storage. The strategy is updated day by day according to the systeminformation change. The problem is formulated as a bi-level mathematical modelwhere the upper level model (ULM) seeks for optimal division of energy storageamong Disco and customers, and the lower level models (LLMs) represent theminimizations of the electricity purchase costs of DisCo and customers.Further, in order to enhance the computation efficiency, we transform thebi-level model into a single-level mathematical program with equilibriumconstraints (MPEC) model and linearize it. Finally, we validate theeffectiveness of the strategy and complement our analysis through case studies.
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