• DocumentCode
    190216
  • Title

    Assessment of Automatic Generation Control performance index criteria

  • Author

    Rahimi, Kaveh ; Famouri, Parviz

  • Author_Institution
    Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV, USA
  • fYear
    2014
  • fDate
    14-17 April 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper evaluates the most common performance index criteria employed in Automatic Generation Control (AGC) using a detailed Load Frequency Control (LFC) model considering the physical constraints. Moreover, it introduces a robust and efficient performance index criterion capable of minimizing the settling time and overshoot of the system response to load changes which cannot be obtained by common performance index criteria. The results show that common performance index criteria such as Integral of the Absolute Value of the Error (IAE) and Integral of the Square of the Error (ISE) cannot be the best criteria to obtain minimal settling time and overshoot. Furthermore, some cases are observed where ISE is employed and best performance is achieved in terms of performance index criterion but the AGC scheme cannot remove the steady-state error completely. However, the proposed multi-objective performance index criterion has the best performance in minimizing settling time and overshoot simultaneously.
  • Keywords
    PID controller; automatic generation control; genetic algorithm; performance index criterion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    T&D Conference and Exposition, 2014 IEEE PES
  • Conference_Location
    Chicago, IL, USA
  • Type

    conf

  • DOI
    10.1109/TDC.2014.6863171
  • Filename
    6863171