Collaborative optimization scheduling of active distribution networks in mountainous areas based on improved particle swarm optimization algorithm

In order to reduce power fluctuations and operating costs in mountainous distribution networks, a collaborative optimization scheduling method for active distribution networks in mountainous areas based on improved particle swarm optimization algorithm is proposed. Firstly, with the goal of improving voltage quality, reducing operating costs, and multi-objective collaborative scheduling, a target model for collaborative optimization scheduling of active distribution networks in mountainous areas is constructed. Secondly, based on the relative progress of particles, traditional particle swarm optimization algorithms are improved to improve iteration efficiency and avoid falling into local optima. Finally, the improved particle swarm optimization algorithm is used to solve the collaborative optimization scheduling model, thereby completing the collaborative optimization scheduling of active distribution networks in mountainous areas. The experimental results show that the method proposed in this paper can effectively reduce power fluctuations and lower the operating costs of active distribution networks in mountainous areas.