Research on Coordinated Scheduling of Distribution Network System with User Side Energy Storage Participation

In response to the issue of increased line losses in distribution networks caused by the integration of distributed power sources and load fluctuations, this paper proposes an optimized operation model that integrates the time of use electricity pricing mechanism with user side energy storage in the distribution network. Develop a model for user load response that incorporates time-based electricity pricing, and formulate an optimization model for the operation of the distribution network. The goal of these models is to optimize the daily costs of electricity for consumers and to reduce the losses within the distribution network. The evaluation function method is employed to consolidate multiple objectives into a unified objective for easier management. Subsequently, the grey wolf optimization algorithm is leveraged to refine the strategy for charging and discharging of user-side energy storage systems. The simulation results demonstrate that the proposed strategy can effectively reduce distribution network losses and user side electricity costs. The algorithm has a fast optimization speed and good convergence performance.