Abstract 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.

中文翻译：

---

基于模糊测度融合准则的配电网单相接地故障馈线检测

摘要 中压配电网单相接地故障的馈线故障检测仍然具有挑战性，因为故障特征较弱，故障条件多样。提出了一种基于模糊度量融合准则的单相接地故障馈线检测新方法。通过模糊c均值聚类算法将表征被保护馈线不同故障情况的各种历史特征样本分为故障组和非故障组。实时数据与历史特征样本集的相似度由模糊测度融合准则定量表示。模糊测度融合准则矩阵通过多级评价指标体系进行评价，强调有效的故障信息，减少偶然因素的影响。通过比较检测到的特征样本与历史特征样本的相似度，建立检测判据，识别单相接地故障馈线。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电弧接地故障等严苛的故障情况下，也能实现准确的故障检测。