• DocumentCode
    2052713
  • Title

    Impact of demand response contracts on load forecasting in a smart grid environment

  • Author

    Qun Zhou ; Wei Guan ; Wei Sun

  • Author_Institution
    Alstom Grid Inc., Redmond, WA, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Load forecasting is highly important for power system operation and planning. Demand response, as a valuable feature in smart grid, is growing dramatically as an effective demand management method. However, traditional load forecasting tools have limitations to reflect demand response customer behaviors into load predictions. The energy consumption by demand response customers is mostly guided by their signed contracts. Therefore, existing demand response contracts are reviewed in this study for both wholesale and retail markets. An illustrative example is provided to explore the impact of these contracts on load forecasting. A concept of proactive load forecasting considering contract types is then proposed and discussed for forecasting loads in a smart grid environment.
  • Keywords
    consumer behaviour; contracts; load forecasting; power markets; power system management; power system planning; smart power grids; contract types; demand response contract; demand response customer behaviors; effective demand management method; energy consumption; load predictions; power system operation; power system planning; proactive load forecasting; retail market; smart grid environment; traditional load forecasting tools; wholesale market; Contracts; Electricity; Forecasting; Load forecasting; Load management; Pricing; Smart grids; Load forecasting; contract types; customer behaviors; demand response; electricity prices; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345079
  • Filename
    6345079