• DocumentCode
    3504837
  • Title

    Integration of demand response and renewable resources for power generation management

  • Author

    Ghosh, Sudip ; Kalagnanam, Jayant ; Katz, Dov ; Squillante, M. ; Xiaoxuan Zhang

  • Author_Institution
    Res. Div., Thomas J. Watson Res. Center, IBM, Yorktown Heights, NY, USA
  • fYear
    2011
  • fDate
    17-19 Jan. 2011
  • Abstract
    A single-period optimal dispatching problem is considered for a network of energy utilities connected via multiple transmission lines, where we seek to find the lowest operationalcost dispatching of various energy sources to satisfy demand. Our model includes traditional thermal resources and renewable energy resources available generation capabilities within the grid. A key novel addition is the consideration of demand reduction as a virtual generation source that can be dispatched quickly to hedge against the risk of unforeseen shortfall in supply. Demand reduction is dispatched in response to incentive signals sent to consumers. The control options of our optimization model consist of the dispatching order and dispatching amount of the thermal generators together with the rebate signals sent to end-users at each node of the network under a simple demand response policy. Numerical experiments based on our analysis of representative data are presented to illustrate the effectiveness of demand response as a hedging option.
  • Keywords
    demand side management; power generation dispatch; power generation economics; renewable energy sources; demand response; energy sources; energy utilities; multiple transmission lines; operational cost; optimal dispatching problem; optimization model; power generation management; renewable energy resources; renewable resources; thermal generators; traditional thermal resources; Dispatching; Generators; Load management; Load modeling; Numerical models; Wind; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-61284-218-9
  • Electronic_ISBN
    978-1-61284-218-9
  • Type

    conf

  • DOI
    10.1109/ISGT.2011.6165483
  • Filename
    6165483