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Faulty feeder detection of single phase-earth fault based on fuzzy measure fusion criterion for distribution networks

机译:基于模糊测量分布网络的模糊测量融合标准,单相接地故障检测故障

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摘要

Faulty feeder detection of single phase-earth fault for medium voltage distribution networks is still challenging since the weak fault feature and diverse fault conditions. A novel single phase-earth fault feeder detection method based on fuzzy measure fusion criterion is proposed in this paper. Various historical feature samples which characterize different fault conditions of the protected feeder are divided into fault group and non-fault group by fuzzy c-means clustering algorithm. The similarity between real time data and the historical feature sample set is quantitatively represented by the fuzzy measure fusion criterion. Fuzzy measure fusion criterion matrix is evaluated through a multi-level evaluation index system to emphasize the effective fault information and reduce the impact of accidental factors. The detection criterion is established by comparing the similarity between the detected feature sample and the historical feature samples to identify the faulty feeder of single phase-earth fault. PSCAD/EMTDC simulation and laboratory fault experiment results have confirmed the effectiveness and adaptability of the proposed detection method. The accurate fault detection can be realized even in the rigorous fault cases of high impedance grounding fault and arc grounding fault.
机译:由于弱故障特征和不同的故障条件,中压配电网单相接地故障的故障馈电检测仍然具有挑战性。本文提出了一种基于模糊测量融合标准的新型单相接地故障馈线检测方法。各种历史特征样本,其特征在于受保护进料器的不同故障条件的历史特征样本被模糊C均值聚类算法分为故障组和非故障组。实时数据和历史特征样本集之间的相似度由模糊测量融合标准定量表示。通过多级评估指标系统评估模糊测量融合标准矩阵,以强调有效的故障信息并降低意外因素的影响。通过比较检测到的特征样本和历史特征样本之间的相似性来建立检测标准,以识别单相接地故障的故障馈线。 PSCAD / EMTDC仿真和实验室故障实验结果证实了所提出的检测方法的有效性和适应性。即使在高阻抗接地故障和弧接地故障的严格故障情况下也可以实现精确的故障检测。

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