• DocumentCode
    76702
  • Title

    Optimal Operation of Independent Storage Systems in Energy and Reserve Markets With High Wind Penetration

  • Author

    Akhavan-Hejazi, Hossein ; Mohsenian-Rad, Hamed

  • Author_Institution
    Electr. Eng. Dept., Univ. of California, Riverside, Riverside, CA, USA
  • Volume
    5
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    1088
  • Lastpage
    1097
  • Abstract
    In this paper, we consider a scenario where a group of investor-owned independently-operated storage units seek to offer energy and reserve in the day-ahead market and energy in the hour-ahead market. We are particularly interested in the case where a significant portion of the power generated in the grid is from wind and other intermittent renewable energy resources. In this regard, we formulate a stochastic programming framework to choose optimal energy and reserve bids for the storage units that takes into account the fluctuating nature of the market prices due to the randomness in the renewable power generation availability. We show that the formulated stochastic program can be converted to a convex optimization problem to be solved efficiently. Our simulation results also show that our design can assure profitability of the private investment on storage units. We also investigate the impact of various design parameters, such as the size and location of the storage unit on increasing the profit.
  • Keywords
    convex programming; energy resources; energy storage; power grids; power markets; profitability; stochastic programming; wind power plants; convex optimization problem; energy and reserve market; investor-owned independently-operated storage units; market price; power grid; profitability; renewable energy resources; renewable power generation; stochastic programming; wind penetration; wind power integration; Batteries; Generators; Investment; Optimization; Stochastic processes; Wind power generation; Energy and reserve markets; independent storage systems; stochastic optimization; wind power integration;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2013.2273800
  • Filename
    6576293