• DocumentCode
    1746379
  • Title

    Power measurement under nonsinusoidal and noisy conditions

  • Author

    Zhang, Jian Qiu ; Shen, Yi

  • Author_Institution
    Adv. Instrum. & Control Res. Center, Univ. of Greenwich, Chatham, UK
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1021
  • Abstract
    Distorted power measurement under nonsinusoidal and noisy conditions is considered. A new window function method which is efficiently combines the advantage of an adaptive window, totally eliminating leakage errors, with that of a conventional window, a good attenuation performance for noise signals, is proposed to reduce the measurement errors of distorted power under nonsinusoidal and noisy conditions. The effectiveness of the new method has been verified by simulation results
  • Keywords
    FIR filters; adaptive filters; frequency response; measurement errors; power measurement; power system harmonics; power system measurement; signal sampling; FIR filter; adaptive window; attenuation performance; digital filtering; distorted power measurement; frequency response; noisy conditions; nonsinusoidal conditions; reduced measurement errors; sampled data; simulation; window function method; Distortion measurement; Frequency response; Industrial power systems; Noise reduction; Pollution measurement; Power engineering and energy; Power measurement; Power system harmonics; Power system simulation; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
  • Conference_Location
    Budapest
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-6646-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2001.928234
  • Filename
    928234