Faulty feeder detection of single phase-earth fault based on fuzzy measure fusion criterion for distribution networks
Faulty feeder detection of single phase-earth fault based on fuzzy measure fusion criterion for distribution networks
复制标题
基于模糊测度融合准则的配电网单相接地故障馈线检测
DOI：
10.1016/j.ijepes.2020.106459
复制
发表时间：
2021-02
期刊：
影响因子：
--
通讯作者：
Zhan Wang
中科院分区：
文献类型：
--
作者：
Kun Yu;Hao Zou;Xiangjun Zeng;Yueyu Li;Hao Li;Chao Zhuo;Zhan Wang
由于中压配电网单相接地故障特征较弱，故障条件多样，故障选线仍然是一个挑战。提出了一种基于模糊测度融合判据的单相接地故障选线新方法。利用模糊c均值聚类算法将表征保护馈线不同故障状态的各种历史特征样本划分为故障组和non-fault.group。用模糊测度融合准则定量地表示真实的时间数据与历史特征样本集的相似性。模糊测度融合准则矩阵通过多层次的评价指标体系进行评价，突出故障信息的有效性，降低偶然因素的影响。通过比较检测特征样本与历史特征样本之间的相似性，建立了单相接地故障选线的检测准则。PSCAD/EMTDC仿真和实验室故障实验结果证实了该检测方法的有效性和适应性。对高阻接地故障和弧光接地故障的严格故障情况even.in能实现准确的故障检测。
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 ef-.fectiveness 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.
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DOI：
10.1109/iaeac47372.2019.8998063
发表时间：
2019-12
期刊：
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
影响因子：
--
作者：
Huang Changhua
通讯作者：
Huang Changhua
影响因子：
7.1
作者：
Xiangjun Zeng;Yu Kun;Yuanyuan Wang;Yao Xu
通讯作者：
Xiangjun Zeng;Yu Kun;Yuanyuan Wang;Yao Xu
影响因子：
--
作者：
Shurong Li;Yongduan Xue;G. Feng;Bingyin Xu
通讯作者：
Shurong Li;Yongduan Xue;G. Feng;Bingyin Xu
DOI：
10.1109/iccsec.2017.8446834
发表时间：
2017-12
期刊：
2017 International Conference on Computer Systems, Electronics and Control (ICCSEC)
影响因子：
--
作者：
Hai Zhang;Jianfang Li;Yajie Li;Yanai Zhang;Tao Lin;Rusi Chen;Yibiao Sheng;Hua Leng;Zhidan Zha
通讯作者：
Hai Zhang;Jianfang Li;Yajie Li;Yanai Zhang;Tao Lin;Rusi Chen;Yibiao Sheng;Hua Leng;Zhidan Zha
影响因子：
4.4
作者：
Marek Michalik;W. Rebizant;M. Lukowicz;Seung-Jae Lee;Sang-Hee Kang
通讯作者：
Marek Michalik;W. Rebizant;M. Lukowicz;Seung-Jae Lee;Sang-Hee Kang