• DocumentCode
    1401796
  • Title

    Frequency Estimation: A Least-Squares New Approach

  • Author

    Abdollahi, Ali ; Matinfar, Farhad

  • Author_Institution
    Dept. of Power Syst. Control & Dispatching, Niroo Res. Inst., Tehran, Iran
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    790
  • Lastpage
    798
  • Abstract
    A new algorithm based on the least-squares method is proposed for online power system frequency estimation. The algorithm is based on a formula which holds for every three consecutive samples. Several of these formulae are written for some consecutive triples of samples and the least-squares method is applied to estimate the frequency. A revised version of the approach with less computation burden at the cost of little decline in estimation accuracy is presented. Response time and processing time of the algorithm are discussed. The effect of data window size, sampling frequency, noise, harmonic, interharmonic, exponentially decaying dc, and filtering on the performance of the approach is discussed. The approach is compared with that of a recent similar paper and a demodulation approach.
  • Keywords
    frequency estimation; least squares approximations; power engineering computing; power systems; data window size; demodulation approach; estimation accuracy; least-squares method; online power system frequency estimation; sampling frequency; Analog-to-digital converter (ADC) offset; Gaussian noise; bandpass filter; data-window size; decaying dc; frequency estimation; harmonic distortion; interharmonic; least-squares method; processing time; response time; sampling frequency;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2090177
  • Filename
    5665784