• DocumentCode
    3392875
  • Title

    Long Transmission Lines Fault Location Based on Parameter Identification Using One-Terminal Data

  • Author

    Wang, Bin ; Suonan, Jiale ; Liu, Heqing ; Song, Guobing

  • Author_Institution
    Dept. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, an accurate fault location algorithm based on parameter identification using single-ended data is presented. It is inferred from the differential equations of fault state network and fault component network based on the R-L transmission lines model. And it takes the resistance and inductance of the system behind the fault point, the fault distance and fault resistance as unknown variables. These four unknown variables can be expressed by the coefficients of fault location equations and, therefore, can be obtained by solving those coefficients. When it comes to the distributed parameter transmission lines, an improved algorithm, combining filtering and compensating, is carried out to reduce the model error. Theoretical analysis and simulation results prove that this algorithm is of high accuracy and low time-consumption. Besides, it doesn´t need iteration and the solution is unique.
  • Keywords
    differential equations; parameter estimation; power transmission faults; power transmission lines; R-L transmission line model; differential equations; distributed parameter transmission lines; fault component network; fault distance; fault resistance; long transmission line fault location; one-terminal data; parameter identification; single-ended data; Approximation algorithms; Circuit faults; Fault location; Mathematical model; Parameter estimation; Power transmission lines; Resistance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307349
  • Filename
    6307349