| 基于遗传算法的电网故障诊断分析应用研究 |
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| 引用本文： | 王永生,李江,熊丽娟,高俊萍.基于遗传算法的电网故障诊断分析应用研究[J].山西电力,2006(6):29-31. |
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| 作者姓名： | 王永生 李江 熊丽娟 高俊萍 |
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| 作者单位： | 太原供电分公司,山西,太原,030012 |
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| 摘 要： | 提出了一种采用遗传算法和模拟退化算法的电网故障诊断数学模型，该模型把电力系统故障诊断问题表示为0—1整数规划问题。在此基础上用遗传算法的优化技术进行求解，使计算时间于故障的复杂程度无关，只与电路的规模大小有关，且可以求得多个全局最优解，能够很好地处理分析任意复杂的故障情况。
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| 关 键 词： | 遗传算法 模拟退化算法 电网故障诊断分析 企局最优解 |
| 文章编号： | 1671-0320(2006)06-0029-03 |
| 修稿时间： | 2006年1月19日 |
Application of Power Network Fault Diagnose Based on Genetic Algorithm |
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| WANG Yong-sheng,LI Jiang,XIONG Li-juan,GAO Jun-ping.Application of Power Network Fault Diagnose Based on Genetic Algorithm[J].Shanxi Electric Power,2006(6):29-31. |
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| Authors: | WANG Yong-sheng LI Jiang XIONG Li-juan GAO Jun-ping |
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| Abstract: | This article presents one mathematical model based on genetic algorithm(GA)and Simulated Annealing Algorithm(GSA) for grid fault diagnosis,which maps Fault diagnosis problem into integrate program.Moreover,this method is also advanced in the computation time independence with fault complexity because of solutions optimized by GA and various global optimal ones,which is merely related with circuit scale.It means all kinds of fault conditions can be solved with our hybrid algorithm proposed. |
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| Keywords: | genetic algorithm(GA) simulated annealing algorithm(GSA) gird fault diagnosis global optimal solution |
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