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混沌遗传算法在配电网无功优化中的应用
引用本文:褚美茹,崔明勇.混沌遗传算法在配电网无功优化中的应用[J].信息技术,2004,28(10):48-50.
作者姓名:褚美茹  崔明勇
作者单位:1. 秦皇岛港务集团公司电力分公司,秦皇岛,066000
2. 燕山大学,秦皇岛,066004
摘    要:配电网无功优化可以有效地降低网络有功损耗,并提高系统的电压合格率,从而降低网络年运行费用,提高供电质量。为了提高配电网无功优化的收敛速度,文中对常规的遗传算法进行了改进,利用混沌优化算法加速了适应值较低的个体的淘汰,提高了每一代个体的平均适应值水平,从而显著提高了常规遗传算法的收敛速度。通过实际算例计算,验证了该算法能有效地提高配电网无功优化的收敛速度和优化效果。

关 键 词:配电网  潮流计算  无功优化  遗传算法  混沌优化
文章编号:1009-2552(2004)10-0048-03
修稿时间:2004年3月1日

Application of chaos genetic algorithm in reactive power optimization of radial distribution network
CHU Mei-ru,CUI Ming-yong.Application of chaos genetic algorithm in reactive power optimization of radial distribution network[J].Information Technology,2004,28(10):48-50.
Authors:CHU Mei-ru  CUI Ming-yong
Affiliation:CHU Mei-ru~1,CUI Ming-yong~2
Abstract:The reactive power optimization of a radial distribution network can efficiently minimize the active power losses and improve voltage level of it, so that the yearly running charge will be reduced and the power quality can be increased. In order to improve the convergence speed of the distribution system, the groovy genetic algorithm (GA) has been improved in this paper, elimination of unit which has low adapted value can be accelerated and unit's average value of each generation can be improved by chaos optimization algorithm. Computations of practical examples prove that this hybrid algorithm has practicability and validity.
Keywords:radial distribution network  power flow calculation  reactive power optimization  genetic algorithm  chaos optimization
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