• DocumentCode
    134747
  • Title

    A new trading framework for demand response aggregators

  • Author

    Mahmoudi, Nadali ; Saha, Tapan K. ; Eghbal, Mehdi

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a new trading framework which allows demand response (DR) aggregators to procure DR from consumers and sell it to purchasers. The aggregator obtains DR from the proposed price and incentive-based DR programs. On the other side, the DR outcome is sold to purchasers through the proposed agreements, namely fixed DR contracts and DR options. The presented problem is formulated as a stochastic programming approach, where its feasibility is studied on a case of the Australian National Electricity Market (NEM).
  • Keywords
    power markets; stochastic programming; Australian national electricity market; demand response aggregators; stochastic programming; trading framework; Australia; Contracts; Electricity; Electricity supply industry; Load management; Smart grids; Uncertainty; DR aggregator; DR options; Demand response; fixed DR agreements; reward-based DR; stochastic programming; time-of-use;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6938882
  • Filename
    6938882