Extremely low frequency-based faulty line selection of low-resistance grounding system

被引:3
作者
Chen, Qing [1 ,2 ]
Peng, Junran [1 ,2 ]
Li, Hongbin [1 ,2 ]
Yang, Shiwu [1 ,2 ]
Zhou, Lei [1 ,2 ]
Pang, Dongxiao [3 ]
Deng, Hu [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, Wuhan 430074, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan, Hubei, Peoples R China
[3] CCDC Drilling & Prod Technol Res Inst, Guanghan, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
PROTECTION; ENERGY;
D O I
10.1049/gtd2.12087
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The single-phase-to-ground faulty line selection methods based on the signals of the frequency above 10 Hz has a low discrimination of fault characteristic signal and characteristic signal may be covered by noise in cases of high-resistance fault. To solve the problem, a line selection method based on system's own extremely low frequency signal (SOELFS) is proposed. Due to the obvious attenuation characteristic of extremely low frequency signals in healthy lines, the extremely low frequency signal has a larger discrimination and hardly affected by imbalanced current noise. Moreover, as the amplitude of the SOELFS is affected by the initial phase angle of the fault, an additional line selection method based on artificially injected extremely low frequency signal is proposed. Cooperating with the specially designed and implemented measuring device, simulations and experimental verification are carried out. The results show that the discrimination of characteristic signal increases from 31 obtained by power frequency to more than 500, the high-resistance fault protection ability increases from 2 to 10 k omega.
引用
收藏
页码:1565 / 1577
页数:13
相关论文
共 27 条
[1]   Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform [J].
Chen, Jichao ;
Phung, Toan ;
Blackburn, Trevor ;
Ambikairajah, Eliathamby ;
Zhang, Daming .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (12) :2990-2998
[2]  
Chen X.H., 2014, J DALI U, V13, P45
[3]   HIGH IMPEDANCE FAULT ARCING ON SANDY SOIL IN 15KV DISTRIBUTION FEEDERS - CONTRIBUTIONS TO THE EVALUATION OF THE LOW-FREQUENCY SPECTRUM [J].
EMANUEL, AE ;
CYGANSKI, D ;
ORR, JA ;
SHILLER, S ;
GULACHENSKI, EM .
IEEE TRANSACTIONS ON POWER DELIVERY, 1990, 5 (02) :676-686
[4]   High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference system [J].
Etemadi, A. H. ;
Sanaye-Pasand, M. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (01) :110-118
[5]  
Fu Xiaoqi, 2010, POWER SYSTEM PROTECT, V38, P227
[6]  
[郭丽伟 Guo Liwei], 2015, [电力系统自动化, Automation of Electric Power Systems], V39, P116
[7]  
He S. Y., 2018, Electric Drive, V48, P65
[8]  
Hu D. F., 2008, IEEE POWER ENG REV, V23, P72
[9]   UNIQUE ASPECTS OF DISTRIBUTION-SYSTEM HARMONICS DUE TO HIGH IMPEDANCE GROUND FAULTS [J].
JEERINGS, DI ;
LINDERS, JR .
IEEE TRANSACTIONS ON POWER DELIVERY, 1990, 5 (02) :1086-1094
[10]   HIGH IMPEDANCE FAULT-DETECTION UTILIZING INCREMENTAL VARIANCE OF NORMALIZED EVEN ORDER HARMONIC POWER [J].
KWON, WH ;
LEE, GW ;
PARK, YM ;
YOON, MC ;
YOO, MH .
IEEE TRANSACTIONS ON POWER DELIVERY, 1991, 6 (02) :557-564