Optimal Scheduling for Shared Energy Storage Users Considering Both Construction and Operation of the Shared Energy Storage Station

Shared energy storage is an emerging energy storage system. Optimal scheduling can maximize the resources of shared ESSs, thereby improving economic efficiency. This paper explores the optimal scheduling of electricity consumption behavior among shared energy storage users. Mixed integer linear programming is used to establish the optimal scheduling model, which is divided into two phases: construction and operation of the ESS. The efficacy of the proposed model is further corroborated through the selection of three industrial users based in Jiangsu Province. The analysis demonstrates that optimal scheduling can effectively curtail electricity costs for the users.