• DocumentCode
    3780276
  • Title

    AGC of a multi-area thermal-CCGT system using Cuckoo Search optimized classical controllers

  • Author

    Asadur Rahman;Shashi Kant Sahu;Lalit Chandra Saikia;Puja Dash

  • Author_Institution
    Department of Electrical Engineering, National Institute of Technology Silchar, Silchar, India
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents Automatic Generation Control of a two unequal area Thermal - Combined Cycle Gas Turbine (CCGT) system. Thermal area is provided with single reheat turbine and generation rate constraints (GRC) of 3% per minute while CCGT system is provided with GRC of 5% per minute. Several classical controllers such as Integral (I), Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) are considered separately in the system for secondary, air flow and temperature controllers. The gains of the controllers are optimized using Cuckoo Search (CS) algorithm. Dynamic responses corresponding to these controllers are compared. Analysis reveals that the performance of PID controllers is much better than the others. Sensitivity analysis reveals the robustness of the optimized PID controller gains of the two area system to wide changes in inertia constant (H), system loading condition and other system parameters.
  • Keywords
    "Turbines","Mathematical model","Algorithm design and analysis","Temperature control","Optimization","Atmospheric modeling","Genetic algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Energy, Power and Environment: Towards Sustainable Growth (ICEPE), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/EPETSG.2015.7510099
  • Filename
    7510099