Single-phase-to-ground fault protection based on zero-sequence current ratio coefficient for low-resistance grounding distribution network

被引:3
作者
Li, Jianrui [1 ]
Li, Yongli [1 ]
Wang, Yonghuan [1 ]
Song, Jinzhao [1 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, Peoples R China
来源
GLOBAL ENERGY INTERCONNECTION-CHINA | 2021年 / 4卷 / 06期
关键词
Low -resistance grounding system; High -impedance grounding fault; Grounding protection; Zero -sequence current; ratio coefficient; ARCING FAULTS;
D O I
10.1016/j.gloei.2022.01.001
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Definite-time zero-sequence over-current protection is presently used in systems whose neutral point is grounded by a low resistance (low-resistance grounding systems). These systems frequently malfunction owing to their high settings of the action value when a high-impedance grounding fault occurs. In this study, the relationship between the zero-sequence currents of each feeder and the neutral branch was analyzed. Then, a grounding protection method was proposed on the basis of the zero-sequence current ratio coefficient. It is defined as the ratio of the zero-sequence current of the feeder to that of the neutral branch. Nonetheless, both zero-sequence voltage and zero-sequence current are affected by the transition resistance, The influence of transition resistance can be eliminated by calculating this coefficient. Therefore, a method based on the zero-sequence current ratio coefficient was proposed considering the significant difference between the faulty feeder and healthy feeder. Furthermore, unbalanced current can be prevented by setting the starting current. PSCAD simulation results reveal that the proposed method shows high reliability and sensitivity when a high-resistance grounding fault occurs
引用
收藏
页码:564 / 575
页数:12
相关论文
共 35 条
[1]  
Cao JJ, 2018, 2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)
[2]  
[丁芃 Ding Peng], 2019, [电工技术学报, Transactions of China Electrotechnical Society], V34, P1004
[3]  
Dong K D, 2020, POWER SUPPLY CONSUMP, V37
[4]   Deep-Learning-Based Earth Fault Detection Using Continuous Wavelet Transform and Convolutional Neural Network in Resonant Grounding Distribution Systems [J].
Guo, Mou-Fa ;
Zeng, Xiao-Dan ;
Chen, Duan-Yu ;
Yang, Nien-Che .
IEEE SENSORS JOURNAL, 2018, 18 (03) :1291-1300
[5]   Fault Diagnosis of Hydraulic Seal Wear and Internal Leakage Using Wavelets and Wavelet Neural Network [J].
Jin, Yao ;
Shan, Changzheng ;
Wu, Yan ;
Xia, Yimin ;
Zhang, Yuntao ;
Zeng, Lei .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (04) :1026-1034
[6]   A novel fault-detection technique of high-impedance arcing faults in transmission lines using the wavelet transform [J].
Kim, CH ;
Kim, H ;
Ko, YH ;
Byun, SH ;
Aggarwal, RK ;
Johns, AT .
IEEE TRANSACTIONS ON POWER DELIVERY, 2002, 17 (04) :921-929
[7]  
[乐健 Le Jian], 2019, [电工技术学报, Transactions of China Electrotechnical Society], V34, P4972
[8]  
Li Haifeng, 2018, Electric Power Automation Equipment, V38, P198, DOI 10.16081/j.issn.1006-6047.2018.09.029
[9]  
Li YJ, 2016, CHIN INT CONF ELECTR
[10]  
Li Z.W., 2020, Electr. Power Eng. Technol, V39, P49