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

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.

[1]  Zahra Moravej,et al.  A Searching Based Method for Locating High Impedance Arcing Fault in Distribution Networks , 2019, IEEE Transactions on Power Delivery.

[2]  Ping Ju,et al.  Single-phase-to-ground fault detection with distributed parameters analysis in non-direct grounded systems , 2019, CSEE Journal of Power and Energy Systems.

[3]  D. Thukaram,et al.  Artificial neural network and support vector Machine approach for locating faults in radial distribution systems , 2005, IEEE Transactions on Power Delivery.

[4]  Peng Zhang,et al.  Identification of the Faulted Distribution Line Using Thyristor-Controlled Grounding , 2009, IEEE Transactions on Power Delivery.

[5]  Zhiqian Bo,et al.  An adaptive inverse time-delay characteristic of the zero-sequence overvoltage protection for identification of the single-phase earth fault in the neutral non-effectively grounded power systems , 2009, 2009 IEEE Power & Energy Society General Meeting.

[6]  Simulation analysis of intermittent arc grounding fault applying with improved cybernetic arc model , 2018, The Journal of Engineering.

[7]  Ying Zhang,et al.  Fault line selection for single-phase earthed fault based on injected active component , 2011, 2011 International Conference on Electrical and Control Engineering.

[8]  Dehui Zeng,et al.  High-impedance ground faulted line-section location method for a resonant grounding system based on the zero-sequence current’s declining periodic component , 2020 .

[9]  Matti Lehtonen,et al.  Incorporating earth fault location in management-control scheme for distribution networks , 2016 .

[10]  Zheng Shao,et al.  Fault line selection method for distribution system based on big data and feature classification , 2017, 2017 China International Electrical and Energy Conference (CIEEC).

[11]  Pei Liu,et al.  A selective single-phase-to-ground fault protection for neutral un-effectively grounded systems , 2011 .

[12]  Matti Lehtonen,et al.  Bayesian Selectivity Technique for Earth Fault Protection in Medium-Voltage Networks , 2010, IEEE Transactions on Power Delivery.

[13]  Hu changhua.  Distribution Network Fault Location Based on Rough Set and Data Fusion , 2019, 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).

[14]  Jie Wang,et al.  Real-Time Fault Repair Scheme Based on Improved Genetic Algorithm , 2019, IEEE Access.

[15]  Chunhe Song,et al.  Single phase fault diagnosis and location in active distribution network using synchronized voltage measurement , 2020 .

[16]  Xiangjun Zeng,et al.  A novel single phase grounding fault protection scheme without threshold setting for neutral ineffectively earthed power systems , 2016 .

[17]  Neville R. Watson,et al.  Three-phase transient state estimation algorithm for distribution systems , 2014 .

[18]  Nagy I. Elkalashy,et al.  Earth fault location determination independent of fault impedance for distribution networks , 2017 .

[19]  Jianfang Li,et al.  A Segmented Network Method Based Faulted Line Selection Strategy for Single-Phase Earth Fault in Small Current Grounding Distribution Network , 2017, 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC).

[20]  Jiri Drapela,et al.  An earth fault location method based on negative sequence voltage changes at low voltage side of distribution transformers , 2020 .

[21]  Sang-Hee Kang,et al.  New ANN-Based Algorithms for Detecting HIFs in Multigrounded MV Networks , 2008, IEEE Transactions on Power Delivery.

[22]  Zhang Qingzhou.  A New Method for Fault Line Selection in Distribution System with Arc Suppression Coil Grounding with Square-wave Signal Injection , 2012 .

[23]  Sang-Hee Kang,et al.  High-impedance fault detection in distribution networks with use of wavelet-based algorithm , 2006, IEEE Transactions on Power Delivery.

[24]  Yang Zhi,et al.  A novel single-phase-to-earth fault location method for distribution network based on zero-sequence components distribution characteristics , 2018, International Journal of Electrical Power & Energy Systems.

[25]  S. M. Brahma,et al.  Detection of High Impedance Fault in Power Distribution Systems Using Mathematical Morphology , 2013, IEEE Transactions on Power Systems.

[26]  Xiangning Lin,et al.  A novel Single-phase-to-ground fault identification and isolation strategy in wind farm collector line , 2018 .