• DocumentCode
    3108066
  • Title

    Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

  • Author

    Gill, S. ; Barbour, E. ; Wilson, I.A.G. ; Infield, D.

  • Author_Institution
    WindEnergy Syst. DTC, Univ. of Strathclyde, Glasgow, UK
  • fYear
    2011
  • fDate
    6-8 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The use of renewable generation and energy storage with actively managed curtailment schemes is investigated. A heuristic optimisation algorithm is presented that maximises the revenue available to the operator of a storage system that time-shifts curtailed generation, and trades by buying and selling power on an electricity market. The algorithm is applied to a case study of a distribution network curtailment scheme with a generic storage device. It is found that allowing a storage unit to both trade with the market, and time-shift curtailed generation generates greater revenue that operating in either mode individually. A Last-In-First-Out scheme of small wind farms in a curtailment scheme is modelled to show the effect of including storage. Finally it is noted that the role of renewable subsidies is important for the encouragement of efficient storage technologies.
  • Keywords
    distributed power generation; energy storage; optimisation; power markets; wind power plants; active management scheme; distribution network curtailment scheme; electricity market; energy storage; generic storage device; heuristic optimisation algorithm; last-in-first-out scheme; non-firm distributed wind generation; renewable generation; time-shift curtailed generation; Active Network Management; Energy Storage; Generation Curtailment; Optimisation; wind generation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation (RPG 2011), IET Conference on
  • Conference_Location
    Edinburgh
  • Type

    conf

  • DOI
    10.1049/cp.2011.0149
  • Filename
    6136098