• DocumentCode
    648179
  • Title

    Determining the adjustment baseline parameters to define an accurate customer baseline load

  • Author

    Faria, Pedro ; Vale, Zita ; Antunes, Paulo

  • Author_Institution
    GECAD - Knowledge Eng. & Decision Support Res. Center, IPP - Polytech. Inst. of Porto, Porto, Portugal
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Demand response is an energy resource that has gained increasing importance in the context of competitive electricity markets and of smart grids. New business models and methods designed to integrate demand response in electricity markets and of smart grids have been published, reporting the need of additional work in this field. In order to adequately remunerate the participation of the consumers in demand response programs, improved consumers´ performance evaluation methods are needed. The methodology proposed in the present paper determines the characterization of the baseline approach that better fits the consumer historic consumption, in order to determine the expected consumption in absent of participation in a demand response event and then determine the actual consumption reduction. The defined baseline can then be used to better determine the remuneration of the consumer. The paper includes a case study with real data to illustrate the application of the proposed methodology.
  • Keywords
    demand side management; power markets; smart power grids; adjustment baseline parameters; business models; competitive electricity markets; consumer historic consumption; consumer performance evaluation methods; consumption reduction; customer baseline load; demand response programs; energy resource; smart grids; Electricity; Electricity supply industry; Load management; Mathematical model; Performance evaluation; Remuneration; Smart grids; Customer baseline load; demand response; performance evaluation methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672749
  • Filename
    6672749