基于遗传算法的异步采样双端故障定位算法

Jian Zhang, Hong Zhou, JiangFeng Qian
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引用次数: 8

摘要

针对行波故障定位和数字故障定位的不足,提出了一种基于遗传算法的非同步采样双端故障定位算法。位置不受伪根、假电阻、系统阻抗或故障类型的影响。采用自适应选择初始区间的策略,大大加快了收敛速度。仿真结果表明,该算法收敛速度快,对直线上任意迭代点的定位精度高。该方法精度满足实际要求,具有较高的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A two-terminal fault location algorithm using asynchronous sampling based on genetic algorithm
Considering the deficiency in traveling wave fault location and digital fault location, the paper proposes a two-terminal fault location algorithm with unsynchronized sampling based on genetic algorithm. Location is not affected by pseudo roots, false resistance, system impedance or types of faults. Besides, strategy for selecting initial interval adaptively is adopted to accelerate convergence speed greatly. The simulation results show that this algorithm has fast convergence and high accuracy of location with any iteration point on the line. The accuracy meets the actual requirement and this method has high practical value.
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