Day-Ahead Economic Dispatch Optimization for Industrial Consumers Utilizing Shared Energy Storage Stations

With the transition of power systems toward a high penetration of renewable energy and multi-user collaborative operation, issues related to load fluctuations and grid stability have become increasingly prominent. As a centralized energy infrastructure, a shared energy storage system (SESS) can enhance the utilization efficiency of storage resources through centralized configuration and coordinated scheduling among multiple users. This study focuses on four typical industrial user load profiles and four representative renewable power stations within an industrial park in Jiangsu Province, China. A day-ahead economic dispatch method based on a shared battery energy storage station is proposed for industrial users, integrating actual operational data from 2024 with a tiered electricity tariff scheme to minimize the total daily operating cost of the user group. Four operational scenarios are constructed: (1) no energy storage, (2) independent battery energy storage for each user, (3) shared battery energy storage, and (4) shared battery–flywheel hybrid energy storage. Typical-day load curve simulations are performed for each case. The results indicate that shared battery energy storage can significantly reduce daily operating costs and improve resource utilization, achieving a 4.1% reduction in total cost compared with an independent storage configuration for each user. The shared battery–flywheel hybrid storage demonstrates millisecond-level responses to second-level high-frequency power fluctuations, effectively lowering peak demand and smoothing the power curve for high-fluctuation users. Compared with shared battery-only storage, the hybrid scheme achieves a 4.6% reduction in peak-period electricity purchase costs, a 0.6% reduction in total electricity consumption, and a 0.39% decrease in overall system operating costs. The proposed method and hybrid storage topology outperform conventional configurations in both technical performance and economic benefits, providing theoretical and empirical support for engineering applications of shared energy storage under high-frequency fluctuation load scenarios.