| 基于优化遗传算法的配网故障定位算法研究 |
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| 引用本文： | 朱勇. 基于优化遗传算法的配网故障定位算法研究[J]. 中州煤炭, 2018, 0(3): 126-130，137. DOI: 10.19389/j.cnki.1003-0506.2018.03.027 |
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| 作者姓名： | 朱勇 |
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| 作者单位： | （贵州电网公司凯里供电局，贵州 凯里 556000） |
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| 摘 要： | 针对遗传算法存在的适应性欠佳、抗干扰性较差的问题，提出一种面向配电网故障定位的优化遗传算法。该算法基于对故障电流参考方向的明确，对算法参数进行优化编码，同时在对开关函数进行优化的基础上利用漏判参数和误判因数对适应度函数进行重构，使得通过优化的遗传算法提升了抗干扰性和适用性。仿真实验表明，该算法能够在分布式配电网中和信息畸变的情形下完成准确的故障定位。
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| 关 键 词： | 遗传算法 故障定位 故障电流 适应度函数 开关函数 |
Research on fault location algorithm of distribution network based on optimized genetic algorithm |
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| Zhu Yong. Research on fault location algorithm of distribution network based on optimized genetic algorithm[J]. Zhongzhou Coal, 2018, 0(3): 126-130，137. DOI: 10.19389/j.cnki.1003-0506.2018.03.027 |
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| Authors: | Zhu Yong |
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| Affiliation: | （Guizhou Power Grid Corp，Kaili Power Supply Bureau，Kaili 556000，China） |
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| Abstract: | In allusion to the problem of poor adaptability and poor anti-interference in genetic algorithm，an optimized genetic algorithm for distribution network fault location was proposed.The algorithm was based on fault current reference clear direction，to optimize the encoding parameters of the algorithm，based on switch function to optimize the use of missing and false factor parameters to reconstruct the fitness function，the genetic algorithm optimized the adaptability and anti-interference performance can be improved.Simulation results showed that the algorithm can achieve accurate fault location in the case of distributed distribution network and information distortion. |
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| Keywords: | genetic algorithm fault location fault current fitness function switching function |
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