• DocumentCode
    985353
  • Title

    Power system frequency estimation using least mean square technique

  • Author

    Pradhan, A.K. ; Routray, A. ; Basak, Abir

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    1812
  • Lastpage
    1816
  • Abstract
    Frequency is an important parameter in power system monitoring, control, and protection. A least mean square (LMS) algorithm in complex form is presented in this paper to estimate power system frequency where the formulated structure is very simple. The three-phase voltages are converted to a complex form for processing by the proposed algorithm. To enhance the convergence characteristic of the complex form of the LMS algorithm, a variable adaptation step-size is incorporated. The performance of the new algorithm is studied through simulations at different situations of the power system.
  • Keywords
    adaptive filters; filtering theory; frequency estimation; least mean squares methods; power system control; power system measurement; power system parameter estimation; power system protection; LMS algorithm; least mean square technique; power system control; power system frequency estimation; power system monitoring; power system protection; three-phase voltage; variable adaptation step-size; Condition monitoring; Control systems; Convergence; Frequency estimation; Least squares approximation; Power system control; Power system protection; Power system simulation; Power systems; Voltage; Complex least mean square (LMS); frequency estimation; least mean square algorithm; power system monitoring;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2004.843453
  • Filename
    1458847