• DocumentCode
    2451105
  • Title

    An accurate fault location and its data processing by least square method

  • Author

    Yunping, Chen ; Qingwu, Gong ; Fengnian, Fu ; Su, Wu

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Hubei, China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1118
  • Abstract
    When a fault occurs on a transmission line, it is required to find out the fault point, clear the fault and resume power supply as soon as possible. This requires a highly accurate fault location. Besides the principle of the algorithm, the precision of fault location is also influenced by the way the sampled data is processed. In this paper, the differential equation is taken as the algorithm of transmission line fault location. The estimation, by the least square method, has optimum statistical character under certain conditions. After the parameter is estimated by the least square method, considering the model of a noisy system cannot be easily obtained, the auxiliary variable method is introduced to rectify it. The EMTP simulation and RTDS simulation confirm the validity of the data processing method and show that the result is steady. This indicates that the method works well in reducing the influence of noise. The accuracy can satisfy the requirement in engineering.
  • Keywords
    differential equations; fault location; least squares approximations; power transmission faults; power transmission lines; transmission line theory; transmission network calculations; EMTP; RTDS; computer simulation; data processing; differential equation; fault location; least square method; power supply; transmission line fault; Data processing; Differential equations; EMTP; Fault location; Least squares methods; Noise reduction; Parameter estimation; Power supplies; Power transmission lines; Resumes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
  • Print_ISBN
    0-7803-7459-2
  • Type

    conf

  • DOI
    10.1109/ICPST.2002.1047575
  • Filename
    1047575