• DocumentCode
    2538381
  • Title

    Hedging strategies for wind renewable generation in electricity markets

  • Author

    Garcia-Gonzalez, Javier

  • Author_Institution
    Inst. de Investig. Tecnol., U. Pontificia Comillas, Madrid
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to the increasing concern over the environmental impact and sustainability of conventional fossil-fueled power plants, renewable energy sources are becoming an important part of the generation mix in many electricity markets. In particular, wind power has taken an active role in the Spanish system by participating both in the day-ahead spot market and in the base-load energy auctions organized every three months to cover a percentage of the demand of the distribution companies. In this framework, besides the inherent variability and unpredictability of the wind power, wind producers face also the market price uncertainty. This paper presents a general overview of the problems faced by a wind producer participating in an electricity market, and it compares two formulations (LP and MILP) of a two-stage stochastic model to solve the problem of coordinating the joint operation of a wind farm and a supporting hydro pumped-storage unit.
  • Keywords
    environmental management; power generation economics; power markets; stochastic processes; wind power plants; Spanish system; base-load energy auctions; day-ahead spot market; electricity markets; environmental impact; generation mix; hedging strategies; market price uncertainty; renewable energy sources; two-stage stochastic model; wind renewable generation; Electricity supply industry; Energy storage; Power generation; Production; Reservoirs; Uncertainty; Wind energy; Wind energy generation; Wind farms; Wind forecasting; Wind power; day-ahead electricity markets; energy storage; optimization; profit maximization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596472
  • Filename
    4596472