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Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line

机译:基于模糊推理系统的解决方案,以定位并行传输线上的跨国故障

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摘要

Locating cross-country faults in a parallel transmission line is a critical and challenging task because faults occur at different locations. In this paper, an accurate fuzzy inference system scheme which provides fault location results for cross-country faults is presented. The fault information from single end of the parallel transmission line is used. A 400 kV, parallel transmission line is designed in MATLAB while fuzzy inference system scheme is modeled with Fuzzy Logic Toolbox. A "MAMDANI" type of fuzzy inference system with triangular member functions is modeled for attaining the fault distance. The fault information in voltages and currents is captured. Then, the impedances in each phase is computed and given as input to fuzzy inference system which aims to locate the faulty location. The simulation results attest that it is able to precisely locate faults in transmission lines without justifying the classification. The results are also compared with existing fault-location methods to describe salient features of fuzzy inference system scheme.
机译:在并行传输线中定位越野故障是一个关键和具有挑战性的任务,因为故障发生在不同的位置。本文提出了一种提供越野故障的故障位置的精确模糊推理系统方案。使用来自并行传输线的单端的故障信息。在MATLAB中设计了400 kV,并联传输线,而模糊推理系统方案采用模糊逻辑工具箱建模。带有三角形构件函数的“Mamdani”类型的模糊推理系统是为了实现故障距离而建模的。捕获电压和电流中的故障信息。然后,计算每个相中的阻抗,并将其作为输入到模糊推理系统的输入,其旨在定位故障位置。模拟结果证明它能够精确地定位传输线路的故障而不证明分类。还将结果与现有的故障定位方法进行了比较,以描述模糊推理系统方案的突出特征。

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