• DocumentCode
    1220647
  • Title

    New dynamic filter based on least absolute value algorithm for on-line tracking of power system harmonics

  • Author

    Soliman, S.A. ; Al-Kandari, A.M. ; El-Nagar, K. ; El-Hawary, M.E.

  • Author_Institution
    Dept. of Electr. Eng., Fac. of Tech. Studies, Shuwaikh, Kuwait
  • Volume
    142
  • Issue
    1
  • fYear
    1995
  • fDate
    1/1/1995 12:00:00 AM
  • Firstpage
    37
  • Lastpage
    44
  • Abstract
    The authors present the application of the technique of least absolute value (LAV) dynamic filtering to optimal tracking of power system harmonics. The proposed technique uses digitised samples of the voltage and current waveform at a power system bus, where a harmonics standard is contemplated. The proposed technique can easily handle time-varying harmonic parameters. Two models are developed and tested. In the first, the measurements matrix varies with time, with an identity transition matrix. In the second model, the state transition matrix is a function of the sampling rate and the number of harmonics chosen. The algorithm is tested using a simulated and actual recorded data set. A sample set of results is reported
  • Keywords
    digital simulation; filtering theory; matrix algebra; power system analysis computing; power system harmonics; tracking filters; current waveform; dynamic filtering; harmonics standard; identity transition matrix; least absolute value algorithm; measurements matrix; on-line tracking; optimal tracking; power system bus; power system harmonics; recorded data set; sampling rate; simulated data set; software implementation; state transition matrix; time-varying harmonic parameters; voltage waveform;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:19951587
  • Filename
    342240