基于改进自适应遗传算法的配电网络重构

提出了一种用于配电系统网络重构的改进型自适应遗传算法。给出了网络重构问题的数学模型及改进的自适应遗传算法。在应用遗传算法时结合配电网自身的特点，提出以环路开关号为基因、系统环路数为染色体长度的编码方法，在优化过程中采用自适应调整的交叉率和变异率，结合一定的禁忌规则．较好地提高了算法在网络重构方面的效率。在IEEE16节点、33节点、69节点3个不同规模的算例系统上进行了测试，计算结果表明，所提出的方法缩短了染色体长度，较好地抑制了不可行解的产生．无论是在收敛性、稳定性还是在计算效率上都取得了比较满意的结果。

Refined adaptive genetic algorithm for distribution network reconfiguration

An improved adaptive genetic algorithm is presented for distribution network reconfiguration. The mathematical model of network reconfiguration and the improved algorithm are described. Combined with the characteristics of distribution network,the algorithm takes loop switch label as gene and loop number as chromosome length for coding,and adaptively regulates the crossover ratio and mutation ratio during optimization to enhance the efficiency of reconfiguration with some tabu rules. Tests are carried out on IEEE 16-,33- and 69-bus systems. Results show that it shortens the chromosome length,restrains the infeasible solution and satisfies the convergence, stability and calculation efficiency at the same time.