Research on Distributed Coordination and Shared Operation Control Strategy of Distributed Digital Energy Storage System

Distributed energy storage, with its flexible power regulation capabilities, can effectively improve power quality, stabilize power fluctuations, and achieve peak shaving and valley filling. This paper proposes an optimized scheduling strategy for distributed energy storage based on aggregation sharing. By finely dividing load power, this method significantly reduces the number of variables to consider during the optimization period, thereby reducing computational complexity. Subsequently, a power distribution mechanism is employed to aggregate dispersed energy storage units into a single centralized storage entity, simplifying the complex multi-energy storage coordination problem to the management of a single equivalent storage unit. On this basis, an optimized scheduling model is constructed with the core objectives of smoothing the grid load curve and enhancing voltage quality. Experimental results show that the proposed method, while significantly reducing the number of optimization variables and computational complexity, still efficiently schedules distributed energy storage resources, effectively improving energy storage utilization efficiency, alleviating the peak-to-valley load difference in the distribution network, and improving system voltage quality, providing strong support for the intelligent and sustainable development of the distribution network.