Energy Storage Capacity and Location Configuration Strategy of PV- Storage Integrated Devices Based on Dung Beetle Optimization Algorithm

The integration of distributed energy resources has intensified the randomness and volatility of power generation in traditional grids. To enhance the supply-demand balance of grid power and ensure system operational stability under high penetration of renewable energy, energy storage systems and their grid-connected interfaces have become critical components. This paper investigates the optimal capacity configuration of integrated PV-storage systems in distribution networks. Firstly, an optimization model for the energy storage capacity of integrated PV-storage units is established, aiming to balance power supply reliability and economy while achieving a minimum-cost capacity configuration scheme. Secondly, a Dung Beetle Optimizer (DBO) algorithm is proposed to solve the constructed model, obtaining the Pareto front solution set. Innovatively, the optimal solution is selected by ranking and summing the multi-objective functions of the solution set. Finally, the proposed optimization model and algorithm are validated through simulations based on the IEEE 33-node standard system. Simulation results demonstrate that the algorithm not only effectively ensures stable operation of the distribution network but also significantly reduces energy storage configuration costs, highlighting the superior performance of the Dung Beetle Optimizer in addressing energy storage capacity allocation problems in renewable-integrated distribution networks.