An evolutionary planning method for distribution networks considering prosumers and shared energy storage

This research provides a rolling planning method for distribution networks, which takes into account shared energy storage capacity configuration and grid topology optimization due to the stochastic unpredictability of the planning scenarios and the interaction between multi-agents. First, the grid topology and the investment capacity of the shared energy storage are optimized by the gird company with the aim of minimizing the overall cost within the planning time scale, and a distribution network planning model that precisely satisfies the reliability requirements is built. Second, the operational utility model of prosumers is suggested based on the planning strategy of the grid company. The cooperation of grid company corporations with prosumers is established in the evolutionary game model. The differential evolution algorithm is used to realize the dynamic solution of the planning strategy by creating the replicator dynamic equation of the grid company. The IEEE-33 bus system is taken as an example for simulation analysis for demonstrating the usefulness of the suggested evolution game-based planning model, which can reduce network planning costs and system operational costs while optimizing prosumers’ load curves.