• DocumentCode
    1139349
  • Title

    Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market

  • Author

    García-González, Javier ; De la Muela, Rocío Moraga Ruiz ; Santos, Luz Matres ; González, Alicia Mateo

  • Author_Institution
    Univ. Pontificia Comillas, Madrid
  • Volume
    23
  • Issue
    2
  • fYear
    2008
  • fDate
    5/1/2008 12:00:00 AM
  • Firstpage
    460
  • Lastpage
    468
  • Abstract
    One of the main characteristics of wind power is the inherent variability and unpredictability of the generation source, even in the short-term. To cope with this drawback, hydro pumped-storage units have been proposed in the literature as a good complement to wind generation due to their ability to manage positive and negative energy imbalances over time. This paper investigates the combined optimization of a wind farm and a pumped-storage facility from the point of view of a generation company in a market environment. The optimization model is formulated as a two-stage stochastic programming problem with two random parameters: market prices and wind generation. The optimal bids for the day-ahead spot market are the ldquohere and nowrdquo decisions while the optimal operation of the facilities are the recourse variables. A joint configuration is modeled and compared with an uncoordinated operation. A realistic example case is presented where the developed models are tested with satisfactory results.
  • Keywords
    energy storage; power markets; pumped-storage power stations; stochastic programming; wind power; electricity market; pumped-storage units; stochastic joint optimization; stochastic programming problem; wind farm; wind generation; Character generation; Electricity supply industry; Power generation; Reservoirs; Stochastic processes; Wind energy; Wind energy generation; Wind farms; Wind forecasting; Wind power generation; Day-ahead electricity markets; energy storage; optimization; profit maximization; wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2008.919430
  • Filename
    4494596