• DocumentCode
    237495
  • Title

    A reduced order model for AGC system using Routh approximation technique

  • Author

    Naqvi, Sadaf ; Ibraheem ; Ali Naqvi, Sana

  • Author_Institution
    Dept. of Electr. Eng., IPEC, Ghaziabad, India
  • fYear
    2014
  • fDate
    28-29 Nov. 2014
  • Firstpage
    248
  • Lastpage
    252
  • Abstract
    The fast development and usage of small digital computers and processors in the design, analysis and implementation of suitable control strategies has led towards proposing the reduced order modeling of large order physical systems. As most of the models are too complex to be analyzed in its original form, various techniques have been developed in the past to reduce the order of a complex system. The structure of existing power systems is very complex in nature and therefore their resulting mathematical models are of large orders. The analysis of such systems becomes a tedious and difficult job. In this article, a model order reduction technique based on Routh approximation criteria is used to model AGC model of a single area. An AGC model of single area is reduced to third order. The system dynamic response plots for both original and reduced order models are obtained for step input and they are compared. The investigations of these results carried out in the study demonstrate that the complexity of the system is reduced to a great extent. However, the dynamic behavior of all the system states for same step disturbance is within acceptable limit.
  • Keywords
    approximation theory; automatic gain control; power system control; reduced order systems; AGC system; Routh approximation technique; reduced order model; system dynamic response plot; Approximation methods; Computational modeling; Load modeling; Mathematical model; Power system dynamics; Power system stability; Reduced order systems; Model order reduction; Reciprocal transformation; Routh approximation; SISO system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
  • Conference_Location
    Ghaziabad
  • Type

    conf

  • DOI
    10.1109/CIPECH.2014.7019045
  • Filename
    7019045