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针对现有配网重构算法存在收敛速度慢、局部寻优能力差、计算时间长、易早熟等问题,提出了一种基于改进混沌遗传算法的配网重构算法,即将支路交换算法和混沌遗传算法相结合,在满足电压和线路潮流约束的前提下,先由支路交换算法将配电网网络结构分环,大幅缩短染色体长度,再由混沌遗传算法重构分段开关和联络开关的状态,将种群中适应度较差的个体替换成混沌移民,增加种群中基因个体的随机性和遍历性,防止算法陷入局部最优,并通过算例进行了验证。结果表明,该算法不仅收敛速度快,且降低了网损。
Aiming at the problems of slow convergence speed, poor local search ability, long calculation time and precocious maturation, the existing distribution network reconfiguration algorithm presents a new distribution network reconfiguration algorithm based on improved chaos genetic algorithm, namely the branch exchange algorithm and Chaos genetic algorithm, under the premise of meeting the constraints of voltage and line power flow, firstly, the branch exchange algorithm is used to divide the network structure of the distribution network to shorten the length of the chromosomes greatly, then the chaotic genetic algorithm is used to reconstruct the segment switches and contact switches , The individuals with poor fitness in the population are replaced by chaotic immigrants to increase the randomness and ergodicity of individual individuals in the population and prevent the algorithm from falling into the local optimum and validated by an example. The results show that the proposed algorithm not only converges fast but also reduces network loss.