基于改进遗传算法的多目标配电网重构

提出一种改进的遗传算法来处理配电网重构问题，采用实数编码，减小了染色体长度和生成不可行解的概率，同时遗传父代优良基因的可能性大大增加。针对适应度函数计算中潮流收敛速度慢的缺点，采用前推回代的方法，大大减少了潮流计算的时间，较好解决了配电网重构问题。理论分析和算例表明，该方法高效可行，适合配电网自动化的实际应用要求。

Multi-Objective Distribution Network Reconfiguration Based on Improved Genetic Algorithm

This paper presents an improved genetic algorithm to deal with the issue of distribution network reconfiguration, and by using the real-coded, reducing the length of the chromosome and the probability of generating infeasible solutions, the possibility of succeeding the fine gene from the parents is greatly increased. According to the shortcomings of slow convergence in calculation of fitness function, the forward and backward substitution method is used to greatly reduce the time of the power flow calculation, and solve the problem of distribution network reconfiguration with better results. Both theoretical analyses and calculation examples show that this method is feasible and efficient, and it well meets the requirements in the actual distribution automation.