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基于改良策略的配电网重构遗传算法

A GENETIC ALGORITHM BASED ON IMPROVEMENT STRATEGY FOR POWER DISTRIBUTION NETWORK RECONFIGURATION

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【作者】 李晓明黄彦浩尹项根

【Author】 LI Xiao-ming, HUANG Yan-hao, YIN Xiang-gen(School of Electric Engineering Wuhan University, Wuhan 430072, China; School of Electric Engineering Huazhong University of Science and Technology, Wuhan 430070, China)

【机构】 武汉大学电气工程学院华中科技大学电气与电子学院 湖北 武汉 430072 华中科技大学电气与电子学院湖北 武汉 430070湖北 武汉 430072湖北 武汉 430070

【摘要】 该文提出了基于改良策略的配电网重构遗传算法,通过对与不可行解相对应的个体进行改良操作,打开回路,连通孤岛,使其变为可行解,并使得搜索仅在可行解范围内进行,从而提高搜索效率;文中还针对改良策略,提出了新的编码方案,并改进了遗传操作;最后还对2个算例进行了试算,其结果与最优解相吻合。算例表明本算法具有计算速度快、性能好的特点,可有效地应用于以降低网损为目的的配电网重构中。

【Abstract】 In this paper, a genetic algorithm (GA) based on improvement strategy for power distribution network reconfiguration is proposed. In this algorithm, the individuals corresponding to infeasible solutions will be improved, the loops in them will be opened up and the islands will be connected, then the feasible solutions can be gotten. By this method, the search space will be limited to the feasible solutions; the efficiency of algorithm will be enhanced obviously. This paper also proposes a new coding precept for improvement strategy and improves the inheritance operation. At the end of the paper, the results of two test computations are shown. They tally with the best solutions, and make clear that this GA has the characteristics of high calculating speed and preferable capability, and can be effectively used to reconfigure power distribution networks for reducing the network loss.

  • 【文献出处】 中国电机工程学报 ,Proceedings of the Csee , 编辑部邮箱 ,2004年02期
  • 【分类号】TM74
  • 【被引频次】167
  • 【下载频次】962
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