• DocumentCode
    621140
  • Title

    Real time market models and prosumer profiling

  • Author

    Montanari, Ugo ; Siwe, Alain Tcheukam

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Pisa, Pisa, Italy
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    Decentralized power management systems will play a key role in reducing greenhouse gas emissions and increasing electricity production through alternative energy sources. In this paper, we focus on power market models in which prosumers interact in a distributed environment during the purchase or sale of electric power. We have chosen to follow the distributed power market model DEZENT. Our contribution is the planning phase of the consumption of prosumers based on the negotiation mechanism of DEZENT. We propose a controller for the planning of the consumption which aims at minimizing the electricity cost achieved at the end of a day. In the paper we discuss the assumptions on which the controller design is based.
  • Keywords
    distributed power generation; multi-agent systems; power distribution planning; power engineering computing; power generation planning; power markets; power system control; DEZENT; controller design; decentralized power management systems; distributed environment; distributed power market model; electricity production; greenhouse gas emission reduction; prosumer profiling; real time market model; Conferences; Electricity; Heuristic algorithms; Learning (artificial intelligence); Planning; Power generation; Power markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2013 IEEE Conference on
  • Conference_Location
    Turin
  • Print_ISBN
    978-1-4799-0055-8
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2013.6562867
  • Filename
    6562867