A fast and accurate fault location method for distribution networks with dg using genetic algorithms

S. Jamali, A. Bahmanyar, H. Borhani-Bahabadi
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引用次数: 16

Abstract

This paper proposes a fault-location method for distribution networks with dispersed generation (DG) based on the measured voltages at DG terminals. The main idea is to estimate the faulty node by considering the fault in different points and exploring the level of similarity between the calculated and measured voltage sags. In the proposed method, this process is considered as an optimization problem of which the fault location and fault resistance are unknown variables and an efficient genetic algorithm-based technique is developed to obtain an optimal solution. The performance of the proposed method is demonstrated by simulation studies on a 25-node distribution system. The results indicate that using an intelligent search procedure, the method has a good performance for different values of fault resistances, and locations.
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一种基于遗传算法的配电网故障快速准确定位方法
本文提出了一种基于分布式发电终端测量电压的配电网故障定位方法。其主要思想是通过考虑不同点的故障并探索计算电压跌落与测量电压跌落之间的相似程度来估计故障节点。该方法将该过程视为一个故障定位和故障电阻为未知变量的优化问题,并采用一种高效的基于遗传算法的方法来求解该问题的最优解。通过对一个25节点配电系统的仿真研究,验证了该方法的有效性。结果表明,该方法采用智能搜索方法,对不同的故障电阻值和位置具有良好的性能。
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