• DocumentCode
    3603196
  • Title

    Optimal Wind Reversible Hydro Offering Strategies for Midterm Planning

  • Author

    Sanchez de la Nieta, Agustin A. ; Contreras, Javier ; Munoz, Jose Ignacio ; Catalao, Joao P. S.

  • Author_Institution
    Univ. of Beira Interior, Covilha, Portugal
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • Firstpage
    1356
  • Lastpage
    1366
  • Abstract
    A coordinated strategy between wind and reversible hydro units for the midterm planning that reduces the imbalance of wind power and improves system efficiency is proposed. A stochastic mixed integer linear model is used, which maximizes the joint profit of wind and hydro units, where conditional value at risk (CVaR) is used for model risk. The offering strategies studied are 1)separate wind and hydro pumping offer, where the units work separately without a physical connection and 2)a single wind and hydro pumping offer with a physical connection between them to store wind energy for future use. The effects of a coordinated wind-hydro strategy for midterm planning are analyzed, considering CVaR and the future water value. The future water value in the reservoirs is analyzed hourly for a period of 1 week and 2 months, in two realistic case studies.
  • Keywords
    hydroelectric power stations; integer programming; linear programming; power system planning; stochastic programming; wind power plants; CVaR; conditional value at risk; midterm planning; optimal wind reversible hydro pumping offering strategy; profit maximization; stochastic mixed integer linear model; wind energy storage; wind power imbalance reduction; Electricity supply industry; Hydroelectric power generation; Mathematical model; Renewable energy sources; Reservoirs; Wind farms; Wind power generation; Midterm planning; offering strategies; reversible hydro unit; wind power;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2015.2437974
  • Filename
    7128390