A multi-stage active distribution network coordination planning method based on adaptive particle swarm optimization algorithm

In order to solve the problems of low efficiency and high cost in traditional distribution network coordination planning, a multi-stage active distribution network coordination planning method based on adaptive particle swarm optimization algorithm is proposed. This method first collects abnormal features of multi-stage active distribution networks, and then constructs distribution network information transmission channels based on the collected results. Secondly, based on the adaptive particle swarm optimization algorithm, abnormal features of the distribution network are extracted, and the extracted results are used as input for distribution network anomaly detection. Based on the detection results, coordinated planning of multi-stage active distribution networks is achieved. The experimental results show that this method can effectively improve the efficiency of distribution network planning and reduce operating costs. This method provides an effective solution to enhance the intelligence level of distribution network planning and promote the development of active distribution networks.