• DocumentCode
    2609954
  • Title

    Taylor-genetic Algorithm on PD Location

  • Author

    Zhang, Xiaoxing ; Tang, Ju ; Xie, Yanbin

  • Author_Institution
    State Key Lab. of Transm. & Distrib. Equip. & Power Syst. Safety & New Technol., Chongqing Univ., Chongqing, China
  • fYear
    2008
  • fDate
    9-12 Nov. 2008
  • Firstpage
    685
  • Lastpage
    688
  • Abstract
    In this paper, a partial discharge (PD) location method based on Taylor-genetic algorithm is proposed. The hyperbolic equations of time difference of arrival (TDOA) are established to calculate the position of PD source. When the number of sensors is more than three, maximum likelihood estimation is utilized to improve the accuracy of location. To search the solutions of hyperbolic equations, Taylor expiration method is used. However its performance depends highly on the accuracy of initial guess. The genetic method is proposed to find the optimal initial point. The results show that the increase of redundant information can effectively improve location accuracy, and the use of genetic algorithms to find appropriate initial point greatly enhances the feasibility of the Taylor algorithm.
  • Keywords
    genetic algorithms; maximum likelihood estimation; partial discharges; time-of-arrival estimation; Taylor expiration method; Taylor-genetic algorithm; hyperbolic equations; maximum likelihood estimation; partial discharge location method; time difference of arrival; Acoustic measurements; Acoustic sensors; Difference equations; Genetic algorithms; Nonlinear equations; Partial discharges; Taylor series; Time difference of arrival; Time measurement; UHF measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Voltage Engineering and Application, 2008. ICHVE 2008. International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-3823-5
  • Electronic_ISBN
    978-1-4244-2810-6
  • Type

    conf

  • DOI
    10.1109/ICHVE.2008.4774027
  • Filename
    4774027