• DocumentCode
    3569903
  • Title

    A new fault diagnosis method based on damped least square QR-factorization algorithm in grounding grid

  • Author

    Yao Degui ; Kou Xiaokuo ; Zhu Guangjie ; Yang Fan ; Dai Feng ; Liu Kai ; Hu Jiajia

  • Author_Institution
    Electr. Power Res. Inst., Henan Power Co., Zhengzhou, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the development of power system and the constant attention to the security of equipment and personnel, fault diagnosis of grounding grid gets more and more attention. In this paper, a new fault diagnosis method for grounding grid based on damped least square QR-factorization algorithm is presented. Firstly, a magnetic field reconstruction method based on the magnetic field method is presented and then a calculation method for magnetic field above grounding grid is proposed. Afterwards, in order to solve the ill-posed reconstruction equations, a damped least squares QR-factorization algorithm is used. Finally, a simulation example is used to verify the feasibility and accuracy of the algorithm. The simulation results show that the reconstructed magnetic field and actual magnetic field are very close; the reconstruction method can also be used when the original data have some errors. So the magnetic field reconstruction method in this paper can be applied to fault diagnosis of grounding grid.
  • Keywords
    earthing; least squares approximations; matrix decomposition; power grids; power system protection; damped least square QR-factorization algorithm; fault diagnosis method; grounding grid; ill-posed reconstruction equations; magnetic field reconstruction method; power system; Corrosion; Equations; Fault diagnosis; Grounding; Magnetic field measurement; Magnetic fields; Mathematical model; Grounding grid; damped least square QR-factorization algorithm; fault diagnosis; ill-posed; magnetic field reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fundamentals of Electrical Engineering (ISFEE), 2014 International Symposium on
  • Print_ISBN
    978-1-4799-6820-6
  • Type

    conf

  • DOI
    10.1109/ISFEE.2014.7050588
  • Filename
    7050588