Joint configuration of wind-solar-storage based on improved particle swarm optimization algorithm

To solve the challenge of optimizing the configuration of wind-solar-storage in distribution networks, this paper establishes a double-layer structure model for wind-solar-storage site selection and capacity optimization. The upper-layer model targets construction costs to determine the appropriate capacities of wind, solar, and energy storage apparatuses, while the lower-layer model aims at minimizing distribution network operation costs, considering the repercussions of wind-solar-storage placement on network losses for site selection. The model is resolved through the utilization of an enhanced particle swarm optimization methodology, and the results show significant improvement in the power quality across the entire system.