• DocumentCode
    1144124
  • Title

    An Improved Taylor Method for Frequency Measurement in Power Systems

  • Author

    Salcic, Zoran ; Nguang, Sing Kiong ; Wu, Yanzhen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
  • Volume
    58
  • Issue
    9
  • fYear
    2009
  • Firstpage
    3288
  • Lastpage
    3294
  • Abstract
    The frequency of a power system is an important operational parameter for the safety, stability, and efficiency of the power system. Accurate and fast measurement of frequency is a goal required in many applications, for example, for load shedding. An improved Taylor approximation method (ITAM) algorithm is proposed, and a comparison of the new algorithm with the conventional Taylor approximation method (TAM) algorithm is presented in this paper under the assumption of the presence of a direct-current (DC) offset component, higher order harmonics, and random noise in the power system signal. The proposed ITAM has the characteristics of low computational and simple hardware requirements, as well as more accurate measurement performance. Another key feature of the algorithm is a good tracing ability for the frequency change and measurement of rate of change of the frequency of a power system.
  • Keywords
    approximation theory; frequency measurement; load shedding; power system harmonics; power system measurement; power system stability; ITAM algorithm; direct-current offset component; frequency measurement; higher order harmonics; improved Taylor approximation method; load shedding; operational parameter; power system efficiency; power system measurement; power system safety; power system signal; power system stability; Field-programmable gate array (FPGA); frequency measurement; power system; real time;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2009.2022377
  • Filename
    5170076