• DocumentCode
    1832453
  • Title

    The fast preconditioned Landweber iteration algorithm for grounding grid fault diagnosis

  • Author

    Yao, Yao ; Deng, Wanting ; Zhu, Zhenhua ; Jin, Tao

  • Author_Institution
    Hubei Electr. Power Testing & Res. Inst., Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    1-3 Aug. 2010
  • Abstract
    In this paper, we will use the method that shifts the positions of the exciters among the touchable nodes and measures as much as possible for each excitation. As the equations obtained by linearizing the question are underdetermined, the fast projected-Landweber algorithm is used. The first part of the scheme uses the preconditioning matrix to accelerate the iterative process, and the second part maintains the algorithm stable by projected-Landweber algorithm. The preconditioning matrix is calculated by an iterative algorithm for generalized inverse, and an optimized step length function is incorporated into the prior-iterative scheme. The convergence condition for grounding grid fault diagnosis problems is also discussed. It shows that it is easy to meet the convergence condition and convenient to choose the parameters of the preconditioning matrix. The results of the calculation, and the measurements in practical examples show that the proposed method is feasible.
  • Keywords
    earthing; fault diagnosis; iterative methods; matrix algebra; power grids; Landweber iteration algorithm; grounding grid fault diagnosis; iterative process; preconditioning matrix; projected-Landweber algorithm; Equations; Loss measurement; Mathematical model; Position measurement; Testing; Accessible nodes; Grounding grid; fast; projected-Landweber;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanical and Electronics Engineering (ICMEE), 2010 2nd International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-7479-0
  • Electronic_ISBN
    978-1-4244-7481-3
  • Type

    conf

  • DOI
    10.1109/ICMEE.2010.5558492
  • Filename
    5558492