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基于遗传禁忌混合算法的静态电压稳定裕度计算
引用本文:蔡智慧,唐忠,马士英,林文南.基于遗传禁忌混合算法的静态电压稳定裕度计算[J].长沙水电师院学报,2007,22(4):31-35.
作者姓名:蔡智慧  唐忠  马士英  林文南
作者单位:[1]长沙理工大学电气与信息工程学院,湖南长沙410076 [2]上海电力学院计算机与信息工程学院,上海200090
基金项目:上海市重点学科建设项目(P1301)
摘    要:提出一种基于遗传禁忌混合算法的静态电压稳定裕度计算的新方法.该方法将全局搜索能力强的遗传算法和局部搜索能力强的禁忌搜索算法结合在一起,通过改进的连续潮流法计算,可快速而准确地获取系统最大静态电压稳定裕度,并在一定程度上弥补遗传算法和禁忌搜索算法单独使用的不足.应用该混合算法对IEEE14节点系统进行仿真计算,验证了该方法可行且有效.

关 键 词:电力系统  静态电压稳定裕度  遗传算法  禁忌搜索算法  混合算法
文章编号:1673-9140(2007)04-0031-05
收稿时间:2007-09-28

Static voltage stability margin calculation based on genetic/tabu search hybrid algorithm
Authors:CAI Zhi-hui  TANG Zhong  MA Shi-ying  LIN Wen-nan
Abstract:A novel method of static voltage stability margin calculation based on genetic/Tabu search hybrid algorithm is presented in the paper. The method combines the genetic algorithm with a strong global search capabilities and the Tabu search algorithm with a strong local search capabilities. With improved continuation power flow calculation, the maximum static voltage stability margin of power system can be quickly and accurately achieved by the hybrid algorithm, and the separateness using defects of the genetic algorithm and the Tabu search algorithm can also be overcomed. The IEEE 14 -bus system is simulated with the hybrid algorithm, results show that the method is feasible and effective.
Keywords:Power system  Static voltage stability margin  Continuation power flow  Genetic algorithm  Tabu search algorithm  Hybrid algorithm
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