Research on Intelligent Planning of Low-Voltage Distribution Network Based on Adaptive Particle Swarm Algorithm

The current conventional distribution network planning method mainly solves the optimal planning scheme by establishing linear objective function, which is better than the lack of construction for typical scenario set leading to poor planning effect. In this regard, an intelligent planning method of low-voltage distribution network based on adaptive particle swarm algorithm is proposed. The typical scenario dataset is obtained by sampling and extracting the data in the low-voltage distribution network operation dataset and reducing the scenario set. On this basis, the optimization function is constructed with the three parameters of operation cost, power network loss and voltage load as the target parameters, and the function is solved by particle swarm algorithm. In the experiments, the planning performance of the proposed method is verified. The experimental results show that the distribution network intelligent planning method constructed by the proposed method has a high equivalent output of the distribution network and has a better planning performance.