• DocumentCode
    648131
  • Title

    Stochastic short-term incentive-based demand response scheduling of load-serving entities

  • Author

    Fotouhi Ghazvini, Mohammad Ali ; Faria, Pedro ; Morais, H. ; Vale, Zita

  • Author_Institution
    GECAD, IPP - Polytech. of Porto, Porto, Portugal
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In competitive electricity markets it is necessary for a profit-seeking load-serving entity (LSE) to optimally adjust the financial incentives offering the end users that buy electricity at regulated rates to reduce the consumption during high market prices. The LSE in this model manages the demand response (DR) by offering financial incentives to retail customers, in order to maximize its expected profit and reduce the risk of market power experience. The stochastic formulation is implemented into a test system where a number of loads are supplied through LSEs.
  • Keywords
    incentive schemes; power markets; stochastic programming; LSE; electricity markets; financial incentives; load-serving entities; market power experience; stochastic programming; stochastic short-term incentive based demand response scheduling; Electricity; Electricity supply industry; Load management; Load modeling; Power systems; Real-time systems; Stochastic processes; Day-ahead market; demand response; demandside bidding; load-serving entities; stochastic programming;
  • 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.2013.6672700
  • Filename
    6672700