• DocumentCode
    26040
  • Title

    Impacts of Energy Storage on Short Term Operation Planning Under Centralized Spot Markets

  • Author

    Suazo-Martinez, C. ; Pereira-Bonvallet, E. ; Palma-Behnke, Rodrigo ; Xiao-Ping Zhang

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Chile, Santiago, Chile
  • Volume
    5
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    1110
  • Lastpage
    1118
  • Abstract
    Energy Storage Systems (ESS) are an alternative to provide flexibility in power system operation. ESS have been foreseen as crucial technologies to facilitate the transition to a low-carbon energy matrix that integrates higher level of renewable variable energy resources. In this paper, the integration of grid-scale ESS in short term operational planning under a centralized cost-based electricity market is analyzed through an adapted stochastic unit commitment formulation to provide energy arbitrage, primary or/and secondary reserve. Several computational simulations are performed in a realistic study case to discuss techno-economic effects of ESS integration in detail. Results obtained show that value of storage is increased when ESS jointly provide different services. Additionally, ESS enable greater participation of renewables into generation mix, while reducing impacts on flexible power plants. Influence of ESS in marginal price signals is also discussed. The undertaken discussion provides insight information for agents in liberalized markets.
  • Keywords
    energy storage; power markets; power system planning; renewable energy sources; stochastic programming; computational simulations; electricity market; energy storage systems; low-carbon energy matrix; operational planning; power system; renewable variable energy resources; stochastic unit commitment formulation; techno-economic effects; Biological system modeling; Load modeling; Power systems; Schedules; Spinning; Stochastic processes; Wind power generation; Energy storage systems (ESS); operating reserves; renewable energy; stochastic programming; unit commitment; wind power;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2013.2281828
  • Filename
    6609140