• DocumentCode
    2802486
  • Title

    Study on the mathematical model and primary frequency regulation characteristics of combined cycle plants

  • Author

    Weimin, Kan ; Junrong, Xia ; Lin, Gao ; Yiping, Dai

  • Author_Institution
    Electr. Power Res. Inst., Tech. Dev. Dept., Guangdong Power Grid Corp., Guangzhou, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    2632
  • Lastpage
    2635
  • Abstract
    Combined cycle plants have significant impact on the primary frequency regulation stability of a power system. Because of the complexity and non-linearity of combined cycle plants, the modeling is very challenging. It is important to propose a simplified mathematical model for studying primary frequency regulation characteristics of combined cycle plants. In this paper, an appropriately simplified model is proposed based on classical model of a combined cycle plant. This model is suitable for power system analysis on primary frequency regulation stability. Parameters of the proposed model are identified by a method based on genetic algorithm. With all parameters identified, this dynamic model is applied to simulate a real 400MW combined cycle plant. The simulated results and the measured responses are in favorable agreements, indicating the feasibility of the proposed model. The results may be helpful for further studies on the primary frequency regulation of combined cycle plants.
  • Keywords
    combined cycle power stations; genetic algorithms; power system stability; combined cycle plants; complexity; dynamic model; genetic algorithm; mathematical model; power 400 MW; power system stability; primary frequency regulation characteristics; Frequency control; Fuels; Mathematical model; Power system dynamics; Power system stability; Temperature measurement; Turbines; Combined Cycle; Identification; Mathematical Model; Primary Frequency Regulation; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5987524
  • Filename
    5987524