Optimal Configuration of Energy Storage Stations in Distribution Networks Considering Dynamic Photovoltaic Output

Abstract

For distribution networks incorporating Distributed Generation (DG), this paper proposes an optimized configuration method for energy storage systems in active distribution networks. By using distribution network power loss, voltage stability, and net load instability as evaluation indicators, an energy storage optimization configuration model for active distribution networks is established. In the optimization process, a co-evolution-based multi-objective genetic optimization algorithm is introduced. This algorithm effectively decomposes and coordinates multiple optimization objectives through the incorporation of a co-evolution mechanism, thereby enhancing the algorithm’s exploration capabilities within complex search spaces. Additionally, an adaptive parameter adjustment method is employed to automatically modify genetic operation parameters in response to dynamic changes during the evolutionary process, improving both the convergence speed and the diversity of solutions. Simulation validation is conducted on the modified IEEE 33-node system using MATPOWER. The results demonstrate that net load peak-valley stability is improved by 5.24% and 15.21%, respectively, voltage deviations at grid nodes are significantly reduced, and the optimal energy storage capacities obtained are 300 kW·h, 105.8 kW·h, and 393.8 kW·h. These results confirm the efficiency and advantages of the suggested approach in evaluating the capacity and location of energy storage equipment.