Corrosion Diagnosis for Grounding Grids by Using Electromagnetic Induction Method

被引:0
|
作者
Liu, Yang [1 ]
Cui, Xiang [2 ]
Zhao, Zhibin [1 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Baoding 071003, Heibei, Peoples R China
[2] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The steel grounding grid buried in earth will corrode and become hidden danger to the safety of power system. It is difficult to get accurate status of corroded ground grid with traditional method. A novel method is presented in order to improve the efficiency and precision of diagnosis. A sine wave exciting current of different power frequency is injected directly into grounding grid by two ground lead wires. At the same time, the distributions of the surface magnetic induction intensities are measured based on the electromagnetic induction theory, then the faults of mesh conductors becoming thin or broken can be diagnosed. The feasibility of the method is demonstrated and the technical way of diagnosis is established by simulation computations using the grounding analysis software package. Combining with the practical EMI environments in substation, the diagnosis system has been designed. Experimental and practical results show that the functions of the system can satisfy the testing needs, this diagnosis method is simple and effective, and it can be used in engineering practice.
引用
收藏
页码:1412 / +
页数:2
相关论文
共 50 条
  • [1] Method of corrosion diagnosis of substations' grounding grids based on electromagnetic induction theory
    School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
    不详
    Zhongguo Dianji Gongcheng Xuebao, 2009, 4 (97-103):
  • [2] Fault Diagnosis of Grounding Grids Based on Electromagnetic Induction Theory
    Fu, Chenzhao
    Si, Wenrong
    Su, Lei
    2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015), 2015, : 326 - 329
  • [3] Non-destructive diagnosis of grounding grids based on the electromagnetic induction impedance method
    Song, Hengli
    Dong, Haobin
    Wang, Xin
    Tang, Liangliang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (11)
  • [4] Splitting method for grounding grids corrosion diagnosis using a block dividing approach
    Ni, Yun-Feng
    Liu, Jian
    Wang, Shu-Qi
    Li, Teng
    Li, Zhi-Zhong
    Wang, Sen
    Gaodianya Jishu/High Voltage Engineering, 2011, 37 (09): : 2250 - 2260
  • [5] Creditability analysis of corrosion diagnosis for grounding grids
    Liu, Li-Qiang
    Luo, Xian-Jue
    Wang, Sen
    Niu, Tao
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2010, 30 (07): : 98 - 103
  • [6] Testability analysis of corrosion diagnosis for grounding grids
    Niu, Tao
    Luo, Xianjue
    Wang, Sen
    Zhang, Debo
    Liu, Liqiang
    Zhang, Yingjiao
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2010, 25 (06): : 192 - 198
  • [7] Hybrid optimal algorithm for corrosion diagnosis for grounding grids
    Liu, Li-Qiang
    Luo, Xian-Jue
    Wang, Sen
    Niu, Tao
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2009, 29 (07): : 33 - 38
  • [8] Diagnosis for Conductor Breaks of Grounding Grids Based on the Wire Loop Method of the Transient Electromagnetic Method
    Yu, Shengbao
    Dong, Guanliang
    Liu, Nannan
    Liu, Xiyang
    Xu, Chang
    Ji, Yanju
    Luan, Hui
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 2019
  • [9] An Improved Algorithm of Grounding Grids Corrosion Diagnosis Based on Total Least Square Method
    ZHANG YingjiaoNIU TaoWANG SenSchool of Electrical EngineeringXian Jiaotong UniversityXian ChinaJiangsu Electric Power Design InstituteNanjing ChinaShaanxi Electric Power Research InstituteXian China
    高压电器, 2011, 47 (05) : 22 - 29
  • [10] A Novel Method for Fault Diagnosis of Grounding Grids
    Yu, Cigong
    Fu, Zhihong
    Wang, Qian
    Tai, Heng-Ming
    Qin, Shanqiang
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2015, 51 (06) : 5182 - 5188