Optimization for PV-ESS in Distribution Network Based on CSBO

This paper proposes a optimization method for photovoltaic(PV) and energy storage system(ESS). Establish an optimization model that minimizes voltage fluctuation in the distribution network, maximizes PV penetration rate, and optimizes planning costs. Due to the complexity of solving high-dimensional nonlinear multi-objective problems in the model, a Circulatory System Based Optimization (CSBO) algorithm is used to reduce the difficulty of solving. To increase the adaptability of the algorithm to model problem solving, an elite strategy selection mechanism is introduced and the algorithm is improved based on fast non dominated sorting. Finally, the entropy weight method is used to select the optimal solution. Simulation analysis shows that using the improved CSBO can obtain the optimal PV-ESS configuration scheme in the distribution network. Compared to optimizing the PV capacity first and then optimizing the ESS, the collaborative optimization method increased the PV installed capacity by 18.5% without increasing costs.