• DocumentCode
    1019630
  • Title

    Estimating Interharmonics by Using Sliding-Window ESPRIT

  • Author

    Gu, Irene Yu-Hua ; Bollen, Math H J

  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • Firstpage
    13
  • Lastpage
    23
  • Abstract
    A method is proposed for estimating inter-harmonic frequencies in power system voltage and current signals. The method is based on a spectrum-estimation method known as ldquoestimation of signal parameters via rotational invariance techniquesrdquo (ESPRIT). To allow for a more reliable spectral estimation and to cover nonstationarity in the signal, a sliding-window version of ESPRIT is introduced. This paper describes the basic ESPRIT method as well as sliding-window ESPRIT. The paper discusses the application of the method to one synthetic signal and three measurement signals. It is shown that the method allows for very accurate frequency estimation of interharmonic components. The limitations of the methods, such as line splitting and spurious components, can be overcome by using the coherent information obtained from the sliding-window method. A number of remaining issues are also discussed in this paper.
  • Keywords
    frequency estimation; power system harmonics; power system measurement; current signals; damped sinusoidal model; estimation of signal parameters via rotational invariance techniques; frequency estimation; interharmonic frequencies; interharmonics estimation; line splitting; measurement signals; power system voltage; sliding-window ESPRIT; spectrum-estimation method; spurious components; synthetic signal; Amplitude estimation; Frequency conversion; Frequency estimation; Parameter estimation; Phase estimation; Power quality; Power system reliability; Signal analysis; Time frequency analysis; Voltage; Classification; damped sinusoidal model; estimation of signal parameters via rotational invariance techniques (ESPRIT); features; power quality (PQ); sliding-window ESPRIT; time-frequency analysis of disturbances;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2007.911130
  • Filename
    4408685