• DocumentCode
    2604702
  • Title

    Transmission network fault location using sparse PMU measurements

  • Author

    Bo, Wang ; Jiang, Quanyuan ; Cao, Yijia

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new fault location method for transmission network using sparse (phasor measurement unit) PMU measurements. In this paper, a new concept of fault location factor is defined to reflect the location of the fault to have occurs. Then the matching based fault location method is presented. The fault location is estimated by matching measured factors with the calculated ones. And the genetic algorithm (GA) is introduced to find the optimal solution. Numerical case studies verify that the proposed fault-location method can accurately and quickly locate a fault point no matter where it occurs on the network.
  • Keywords
    fault location; genetic algorithms; power system measurement; power transmission protection; genetic algorithm; matching based fault location method; phasor measurement unit; sparse PMU measurements; transmission network fault location; Costs; Dispersion; Electrical resistance measurement; Fault location; Genetic algorithms; Measurement units; Phasor measurement units; Power transmission lines; Transmission line measurements; Transmission line theory; Fault location factor; Fitness value; Genetic algorithm; Matching degree; PMU; Transmission network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348286
  • Filename
    5348286