Optimal Scheduling of Source-Network-Load-Storage in Active Distribution Networks Based on Improved Particle Swarm Optimization Algorithm

In the context of rapid advancements in distributed energy technology, Active Distribution Networks are innovative power systems that integrate distributed power sources and regulate load and storage to enhance reliability and efficiency. However, due to diverse energy types, uncertainties, and complex operations, synchronized optimization of resources poses significant research challenges. This article first introduces the basic concepts and development context of Active Distribution Networks, then discusses theoretical models and mathematical formulations for coordinating ‘source-network-load-storage’ optimizations. To address these complexities, we propose an improved particle swarm optimization algorithm. Our simulation analyses demonstrate that this algorithm significantly reduces operational costs and enhances the absorptive capacity of active distribution networks.