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An accurate fuzzy logic-based fault classification algorithm using voltage and current phase sequence components

机译:基于电压和电流相序分量的基于模糊逻辑的精确故障分类算法

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摘要

In this paper, a fuzzy logic-based fault-type classification algorithm for digital relays is proposed. Using this algorithm, the fault type is recognized amongst 10 types of shunt faults that may occur on transmission lines under different fault resistances, inception angles, line lengths, and system operating conditions. The proposed method uses the phase sequence components of three phase voltages and currents that are available in most of the power system protection relays. An improved technique is used to estimate the current and voltage signals. A fuzzy method is used to identify the type of fault from the current and voltage signals separately and then combines the results to provide more accurate fault-type recognition. This combination in the proposed method leads to overcome the uncertainty associated with each individual signal. In addition, the fuzzy method is rearranged for ease of implementation in the digital relays while maintaining the acceptable results. To test the performance and robustness of the proposed algorithm, various simulation studies have been carried out under wide variations of the parameters. The algorithm is also tested using some real test data recorded from a high-voltage power system. Copyright © 2014 John Wiley & Sons, Ltd.
机译:提出了一种基于模糊逻辑的数字继电器故障类型分类算法。使用此算法,可以在不同故障电阻,起始角度,线路长度和系统工作条件下,在传输线上可能发生的10种并联故障类型中识别故障类型。所提出的方法使用了大多数电力系统保护继电器中可用的三相电压和电流的相序分量。一种改进的技术用于估计电流和电压信号。使用一种模糊方法从电流和电压信号中分别识别故障类型,然后将结果组合起来以提供更准确的故障类型识别。所提出的方法中的这种组合克服了与每个单独信号相关的不确定性。另外,模糊方法被重新布置以易于在数字继电器中实现,同时保持可接受的结果。为了测试所提出算法的性能和鲁棒性,在各种参数变化下进行了各种仿真研究。还使用从高压电源系统记录的一些实际测试数据对算法进行了测试。版权所有©2014 John Wiley&Sons,Ltd.

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