• DocumentCode
    481907
  • Title

    A characteristic impedance estimator to be used on Active Resonance Dampers

  • Author

    Santana, Wilson Cesar ; Al-Haddad, Kamal ; Da Silva, Luiz Eduardo Borges

  • Author_Institution
    Dept. de genie Electr., Univ. du Quebec, Montreal, QC
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    2679
  • Lastpage
    2683
  • Abstract
    This work presents a control algorithm for an active resonance damper. This kind of equipment must act as a harmonic impedance in order to damp harmonic propagation throughout a distribution feeder. This harmonic resistance must be equal to the characteristic impedance of the distribution feeder in order to achieve optimized compensating currents. As the analytical calculation of this impedance is a non-trivial (and maybe, impossible) task, it is proposed an ARIMAX Least-Squares based parameters estimator to determine, on line, the optimal value for the harmonic resistance. The proposed estimator is able to calculate the feederpsilas characteristic impedance based only on the installation site voltage (i.e., no voltage/current sensors are required on other parts of the feeder) independently on the number of buses or non-linear loads attached to them.
  • Keywords
    autoregressive moving average processes; compensation; damping; distribution networks; electric impedance; least squares approximations; parameter estimation; power system control; power system harmonics; active resonance damper; auto regressive moving average least-square; characteristic harmonic impedance estimator; distribution feeder; electric power system; external input; harmonic resistance; integrator; noise model; optimized current compensation; parameter estimator; Active filters; Capacitors; Frequency; Harmonic analysis; Impedance; Parameter estimation; Power harmonic filters; Power system harmonics; Resonance; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758381
  • Filename
    4758381