| 基于改进遗传-禁忌算法的PMU优化配置 |
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| 引用本文： | 于波,彭林,孙光磊,张俊丰.基于改进遗传-禁忌算法的PMU优化配置[J].太原科技,2012(2):100-103. |
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| 作者姓名： | 于波 彭林 孙光磊 张俊丰 |
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| 作者单位： | 1. 安徽阜阳电业局,安徽阜阳,236033
2. 吉林省电力有限公司培训中心,吉林长春,130022 |
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| 摘 要： | 针对PMU最优配置问题,把改进遗传算法与禁忌搜索算法的混合算法应用到电力系统优化问题。首先通过初始化配置,给定初始值,然后保留两个算法各自的优点进行全局优化,使优化精度提高,适应性更强。并对IEEE14和IEEE39节点进行优化,算例表明该方法求解PMU最优配置问题能使配置的数目和配置的位置达到最优化组合,同时也可提高最优解的多样性。
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| 关 键 词： | PMU 遗传-禁忌 优化配置 IEEE14 IEEE39 |
Optimum Distribution of PMU Based on Improving Heredity-Taboo |
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| Yu Bo,Peng Lin,Sun Guang-Lei,Zhang Jun-feng.Optimum Distribution of PMU Based on Improving Heredity-Taboo[J].Taiyuan Science and Technology,2012(2):100-103. |
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| Authors: | Yu Bo Peng Lin Sun Guang-Lei Zhang Jun-feng |
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| Institution: | 1.Fuyang Bureau of Power Industry,Fuyang 236033 China; 2.Training Center of Jilin Electric Power Co.,Ltd,Changchun 130022 China) |
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| Abstract: | Aiming at optimal disposition of PUM,the authors applied searching algorithm of heredity-taboo to optimization of electric power system.Firstly,initialized distribution,giving original value and saving advantages of two algorithms make optimum accuracy improved.Finally,the authors optimized panel point of IEEE14 and IEEE39.Numerical examples have indicated solving optimal disposition of PMU by IEEE14 and IEEE39 could make optimal disposition of number and position of distribution,and improved variety of optimum solution. |
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| Keywords: | PMU heredity-taboo optimum distribution IEEE14 IEEE39 |
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