国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Abstract: For fault detection of distribution network including Distributed Generation (DG), traditional fault detection methods are prone to problems such as low detection accuracy, poor applicability and low fault tolerance. An improved Binary Particle Swarm Optimization (BPSO) was proposed for fault detection. Based on THE BPSO algorithm, the self-adaptive value was redefined to ensure that the population could find the most accurate optimal solution and solve the problem that BPSO algorithm was prone to "premature". Through the simulation analysis of IEEE33 nodes, the experimental results show that the improved BPSO algorithm can effectively locate fault sections, which verifies the effectiveness and correctness of the improved BPSO algorithm. At the same time, when there is information distortion, the improved BPSO algorithm is more fault-tolerant than the general algorithm.