The Method of Short Circuit Fault Identification and Location in High-voltage Transmission Line

被引:0
|
作者
Dong, Qing [1 ]
Liu, Zhigang [1 ]
机构
[1] North China Elect Power Univ, Baoding, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
That the phenomena of transmission line fault takes place occasionally in our country has a severe impact on power system stability. It has great significance for reliable power supply to identify short circuit fault and cut it quickly. A new method of fault identification and location is proposed in the paper. On the analysis of fault disturbance characteristic, the method is based on cubic interpolating polynomial and extracts transient DC disturbance from fault signal. Then the polarity of the current disturbance is used to identify fault line and the position of the short circuit point is located by the defined delay function. Thus the fault location error of line parameters is avoided and the location result is not influenced by system operation mode and transition resistance. The accuracy and reliability of the method are proved by the simulating model with two generators and an infinite system. The result of simulating test shows that the location of short circuit point can be determined very quickly. And also, the number of measuring units is so little that huge investment can be reduced.
引用
收藏
页码:150 / 154
页数:5
相关论文
共 50 条
  • [1] A fault location method based on genetic algorithm for high-voltage direct current transmission line
    Li, Yongli
    Zhang, Shuo
    Li, Hongbo
    Zhai, Yongchang
    Zhang, Weiya
    Nie, Yao
    [J]. EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2012, 22 (06): : 866 - 878
  • [2] THE STUDY OF A SHORT CIRCUIT FAULT'S HIGH RELIABILITY DETECTION METHOD OF HOSPITAL HIGH VOLTAGE TRANSMISSION LINE
    Yu, Q. F.
    Dong, Y. M.
    Dong, A. H.
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2015, 117 : 43 - 43
  • [3] Fault location method for high-voltage direct current transmission line using incident current travelling waves
    Wang, Bin
    Yang, Lin
    Dong, Xinzhou
    [J]. JOURNAL OF ENGINEERING-JOE, 2018, (15): : 1165 - 1168
  • [4] Study on Identification Methodology of Instantaneous and Permanent Fault for High-voltage Overhead Transmission Line
    Quan Yu-sheng
    Zhao Bo
    Chen Shu-yong
    Xu Tie-ying
    Ji Li-xin
    [J]. CONFERENCE RECORD OF THE 2012 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION (ISEI), 2012, : 137 - 140
  • [5] INTELLIGENT FAULT DETECTION AND LOCATION IN ELECTRICAL HIGH-VOLTAGE TRANSMISSION LINES
    Guerraiche, Khaled
    Abbou, Amine Bouadjmi
    Dekhici, Latifa
    [J]. REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE, 2024, 69 (03): : 269 - 276
  • [6] A New False Root Identification Method Based on Two Terminal Fault Location Algorithm for High Voltage Transmission Line
    Wang, Shou-Peng
    Zhao, Dong-Mei
    Shang, Li-Qun
    Zhu, Dan-Dan
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2016, : 10 - 14
  • [7] Fault Arc Resistance Impact on Fault Location in High Voltage Transmission line
    Seghir, Samira
    Bouthiba, Tahar
    Boukhari, Rebiha
    Bouricha, Abdelhakim
    [J]. PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 55 - 60
  • [8] On the use of partially linear model in identification of arcing-fault location on overhead high-voltage transmission lines
    Zivanovic, R
    [J]. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2004, 14 (06): : 1975 - 1985
  • [9] Research on fault identification of high-voltage circuit breakers with characteristics of voiceprint information
    Wang, Sihao
    Zhou, Yongrong
    Ma, Zhaoxing
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [10] Two-terminal fault location method for high-voltage transmission line based on zero-mode traveling wave velocity quantization
    Wang, Wei
    Wang, Quanjin
    Yin, Li
    Sun, Haixia
    Wang, Hua
    Hou, Tianyu
    Liang, Rui
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (12): : 165 - 170