• DocumentCode
    1632346
  • Title

    Fuel management strategy of combined cycle power plant under uncertainty

  • Author

    Vaitheeswaran, N. ; Balasubramanian, R.

  • Author_Institution
    Power Manage. Inst., NTPC Ltd., New Delhi, India
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper addresses the fuel planning problem of a combined cycle power station by optimal allocation of natural gas portfolios in long term fixed contracts and short term market. The power producer solves the optimization by a two stage stochastic programming approach and minimizes the expected yearly fuel cost. The stochastic behavior of gas price in the short term market and uncertainty of load are considered in the model. The constraints include the obligation to meet load demand in every scenario and minimum/ maximum off-take limits of natural gas contracts in every time interval of the planning horizon. The risk profile of the power producer is incorporated by constraining the objective function with Conditional Value at Risk (CVaR). A case example of fuel cost minimization of power station is illustrated in this work.
  • Keywords
    combined cycle power stations; cost reduction; demand side management; minimisation; natural gas technology; power generation planning; power markets; power system management; risk analysis; stochastic programming; CVaR; combined cycle power plant; conditional value at risk; cost minimisation; fuel management; load demand; natural gas contracts; natural gas portfolio; optimal allocation; optimization; planning horizon; power market; power system uncertainty; stochastic programming; Contracts; Fuels; Load modeling; Natural gas; Optimization; Programming; Stochastic processes; ABT; CVaR; Monte Carlo Simulation; Stochastic Programming; VaR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on
  • Conference_Location
    Thrissur, Kerala
  • Print_ISBN
    978-1-4673-0446-7
  • Type

    conf

  • DOI
    10.1109/EPSCICON.2012.6175258
  • Filename
    6175258