• DocumentCode
    3194390
  • Title

    Study of Fault Diagnosis for Grounding Grid Using Fuzzy Theory

  • Author

    Zhang, Penghe ; He, Junjia ; Zeguan Deng

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    In order to settle the problem of the exact fault placement on grounding grid, a new fault diagnosis method is brought forward based on the fuzzy theory. The two important principles of fuzzy theory, similar degree and furthest selection, are improved ground on the material problem of the fault diagnosis of grounding grid. Making use of the complex image method and Prony method, adopting the matlab program, the distribution of earth potential of the 10 × 10 intact and fault grounding grid are calculating. These are the sample data-base. Adopting VC++ program, calculating the relation between the intact grounding grid sample and the fault grounding grid sample based on the improved fuzzy similar degree, the fault sample data-base are diagnosed. Subsequently, calculating the difference between the fault samples, the fault placement of grounding grid is diagnosed based on the principle of furthest selection. The result indicates the exact radio is very high.
  • Keywords
    earthing; fault diagnosis; fuzzy set theory; power grids; power system faults; Matlab program; Prony method; VC++ program; complex image method; earth potential distribution; fault diagnosis; fault grounding grid sample; fault placement; fault sample data-base; fuzzy theory; grounding grid; intact grounding grid sample; Automation; Fault diagnosis; Grounding; earth surface potentials; fault diagnosis; fuzzy theory; grounding grid; similar degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.649
  • Filename
    5522820