• DocumentCode
    2067776
  • Title

    A novel method for multi-fault location utilizing fault fitting degree

  • Author

    Jing Ma ; Dong Xu ; Tong Wang

  • Author_Institution
    State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new algorithm is proposed to locate multi-fault based on fault fitting degree for complex large power grid. In the normal operating condition, the node admittance matrix is formed according to the network topology structure. When multiple faults occur, by analyzing the fault branch node voltage equation, the fault equivalent model of fault branches and node-branch correlation matrix are formed. Based on superposition theorem, the virtual fault location and fitting degree of each combination of faults can be calculated by the least square method. Then fault line and fault location are determined. The simulation results of 10-generator 39-bus system verify the validity and feasibility of this algorithm.
  • Keywords
    correlation methods; fault location; matrix algebra; power grids; power system faults; power system measurement; 10-generator 39-bus system; complex large power grid; fault branches; fault equivalent model; fault fitting degree; fault line; multifault location; network topology structure; node admittance matrix; superposition theorem; virtual fault location; wide-area measurement system; Circuit faults; Educational institutions; Fault location; Fitting; Mathematical model; Power systems; Transmission line matrix methods; Equivalent fault model; Fault fitting degree; Least square method; Multi-fault location; Wide-area measurement system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345634
  • Filename
    6345634