• DocumentCode
    3416745
  • Title

    Trading models for aggregating distributed energy resources into virtual power plant

  • Author

    Mashhour, Elaheh ; Moghaddas-Tafreshi, S.M.

  • Author_Institution
    Fac. of Electr. Eng., K.N.Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2009
  • fDate
    14-16 Jan. 2009
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    A number of Distributed Energy Resources (DER) of various technologies with various operating pattern and availability can be integrated in a Virtual Power Plant (VPP). Some of the Distributed Generators (DGs), those are dispatchable and have high capacity, can individually participate in the power market but they may choose VPP if they hope to reach a higher benefit in the power market through VPP. Some of the others, those are very small or have stochastic nature, can not gain access to the power market without aggregation. Depend on the capacity and characteristics of distributed energy resources, their aims for joining to VPP and their dependency to VPP may be different. VPP may be their ownership, their operator or only an interface entity that can facilitate more economical opportunities for them in the power market. This paper characterizes a general framework for VPP which can be included the various DG technologies in both medium and low voltage distribution networks. Based on the degree of dependency to VPP, the VPP components are categorized into three classes, i.e. market component parts, contractual component parts and internal component parts, and also their trading relation with VPP are discussed.
  • Keywords
    distributed power generation; energy resources; power markets; voltage distribution; aggregating distributed energy resources; distributed energy resources; distributed generators; low voltage distribution networks; power market; trading models; virtual power plant; Availability; Density estimation robust algorithm; Distributed power generation; Energy resources; Low voltage; Medium voltage; Power generation; Power generation economics; Power markets; Stochastic processes; Trading Relation; Virtual Power Plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Science & Technology, 2009. ICAST 2009. 2nd International Conference on
  • Conference_Location
    Accra
  • ISSN
    0855-8906
  • Print_ISBN
    978-1-4244-3522-7
  • Electronic_ISBN
    0855-8906
  • Type

    conf

  • DOI
    10.1109/ICASTECH.2009.5409692
  • Filename
    5409692