Fault Reconfiguration of Distribution Networks Using an Enhanced Multimodal Multi-objective Evolutionary Algorithm
摘要
In the event of failures, it is essential that the distribution network can autonomously adjust its topology structure to satisfy the power supply requirements. Therefore, how to reconstruct the distribution network is crucial for the development of smart grids. To improve the accuracy and reliability of fault reconstruction in distribution networks, we propose a discrete multimodal multi-objective particle swarm algorithm based on the nearest neighbor algorithm (DMMPSO-NNS) in this study, which employs the nearest neighbor search method to maintain population diversity. The results prove that the DMMPSO-NNS performs better than other selected algorithms on the IEEE 33-bus distribution network.