• DocumentCode
    19798
  • Title

    Economic Assessment of Energy Storage in Systems With High Levels of Renewable Resources

  • Author

    Nan Li ; Hedman, Kory W.

  • Author_Institution
    Sch. of Electr., Comput., & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    6
  • Issue
    3
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1103
  • Lastpage
    1111
  • Abstract
    High penetration levels of renewable resources impose increasing uncertainty and variability on power system operations. Traditionally, power systems rely on conventional generators (CGs) to balance the uncertainty in renewable generation. However, as renewable penetration levels increase, CGs may suffer from higher operating costs while receiving lower profits. In contrast, since bulk energy storage can store and shift clean energy and have fast ramping capability, they may become more competitive under high renewable penetration levels. In this paper, a stochastic unit commitment model with energy storage will be presented to evaluate the short-term profitability of CGs and energy storage under different levels of renewable penetrations. The short-term profitability of CGs and energy storage units will be compared to identify the impact of increasing renewable penetration on the attractiveness of bulk energy storage in comparison to CGs.
  • Keywords
    energy storage; power generation dispatch; power generation economics; power generation scheduling; profitability; renewable energy sources; clean energy; conventional generators; economic assessment; energy storage; power system operations; ramping capability; renewable generation; renewable penetration levels; renewable resources; short-term profitability; stochastic unit commitment; Energy storage; Generators; Indexes; Reservoirs; Stochastic processes; Wind forecasting; Compressed air energy storage (CAES); contingency analysis; integer programming; power generation dispatch; power system economics; power system reliability; pumped storage hydro (PSH); renewable resources; stochastic unit commitment;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2329881
  • Filename
    6874522