• DocumentCode
    2378009
  • Title

    Online Estimation and Identifiability of Cable Parameters Using Passive Monitoring

  • Author

    Taylor, Jason A. ; Halpin, S. Mark

  • Author_Institution
    Auburn Univ., Auburn
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 2 2007
  • Firstpage
    253
  • Lastpage
    258
  • Abstract
    One method for diagnostic and prognostic evaluation of cable health is online estimation and tracking of physics-based parameters. In certain applications it is beneficial to passively monitor voltages and currents and subsequently estimate model parameters. However, passive monitoring requires a means to evaluate if and when the uncontrolled inputs are sufficient to excite the modeled dynamics. If the system dynamics cannot be observed the corresponding parameters cannot be estimated. In this paper, identifiability requirements of the observed input-output signals for standard models are investigated. Equivalent line circuit models are evaluated in forms allowing for recursive parameter estimation and with a minimum number of independent parameters.
  • Keywords
    equivalent circuits; parameter estimation; power cables; power system measurement; power system simulation; cable parameters; equivalent line circuit models; identifiability requirements; independent parameters; observed input output signals; online estimation; passive monitoring; recursive parameter estimation; standard models; Circuit faults; Condition monitoring; Electric variables measurement; Parameter estimation; Power cables; Power measurement; Power system modeling; Signal processing; Vehicle dynamics; Voltage; parameter estimation; power cables; power system identification; power system monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2007. NAPS '07. 39th North American
  • Conference_Location
    Las Cruces, NM
  • Print_ISBN
    978-1-4244-1726-1
  • Electronic_ISBN
    978-1-4244-1726-1
  • Type

    conf

  • DOI
    10.1109/NAPS.2007.4402319
  • Filename
    4402319