Study on the optimal daily operating cost of electricity consumption for an integrated energy system with shared energy storage power station

Shared energy storage is an innovative solution for managing electrical resources. It releases stored electricity during peak demand to balance supply and demand and charges during off-peak hours to improve efficiency. A well-structured pricing mechanism motivates active participation in demand response, leading to efficient energy use and significant cost savings. This study developed a detailed operational model for an integrated energy system with shared energy storage, considering the characteristics of transferable loads, cuttable loads and shiftable loads. An optimization function was formulated to reduce daily operating expenses using a mixed-integer linear programming (MILP) method for scheduling strategies. The optimization challenge was addressed with the Yalmip toolbox and Gurobi solver, employing the branch-and-bound technique for case analysis. The conclusion showed that shared energy storage greatly improved system economics, effectively performed peak shaving and valley filling, and reduced total operational costs, confirming the effectiveness of the proposed model and methodology.