• DocumentCode
    643663
  • Title

    A novel real-time phase measurement method with recursive least square parameter estimation

  • Author

    Zhong Cheng ; Jing Tian-jun

  • Author_Institution
    Coll. of Inf. of Electr. Eng., China Agric. Univ., Beijing, China
  • fYear
    2013
  • fDate
    5-8 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Through observe three-phase voltage space rotation vector in the polar coordinate, the voltage space phase angle is divided into two parts, and which are fundamental wave phase angle and deviation Angle caused by the harmonic or unbalance component. And it introduces initial phase and angular frequency as parameters to establish observation equation. Taking the minimum period sum of squared errors as target function, adaptive memory length recursive least squares method is used to obtain real-time parameter estimation. The iterative process of the algorithm has no trigonometric calculations. It could be calculated simply and realized easily. The simulation results show that the algorithm is of good tracking performance for the grid voltage with harmonic and noise, in phase mutation, frequency mutation, voltage unbalance drop or all of them, and can satisfy the requirements of the power electronic conversion device real-time control.
  • Keywords
    iterative methods; least squares approximations; phase measurement; power system measurement; adaptive memory length recursive least squares method; deviation Angle; fundamental wave phase angle; harmonic component; iterative process; minimum period sum of squared error; polar coordinate; real-time parameter estimation; real-time phase measurement method; recursive least square parameter estimation; target function; three-phase voltage space rotation vector; unbalance component; voltage space phase angle; Covariance matrices; Frequency measurement; Harmonic analysis; Power harmonic filters; Real-time systems; Vectors; Voltage measurement; Component; formatting; insert; style; styling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
  • Conference_Location
    KunMing
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2013.6663943
  • Filename
    6663943