• DocumentCode
    2803792
  • Title

    Fitting distributed generation in future power markets through virtual power plants

  • Author

    Bakari, K.E. ; Kling, W.L.

  • Author_Institution
    Elitechs BV, Haarlem, Netherlands
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper describes the development of a scalable virtual power plant system that fits in the deregulated power markets while benefiting from the Systems Engineering methodology. As this system facilitates energy trade, balancing and network support, it complies with the requirements of future active distribution grids and interests of the emerging active power users and producers. The technical conditions to embed large concentrations of distributed energy resources and other functions of this system are discussed while focusing on the benefits for the system stakeholders. This paper ends up with the business case of the virtual power plant and an overview of relevant conclusions.
  • Keywords
    distributed power generation; energy resources; power generation economics; power markets; power plants; active distribution grids; active power producers; active power users; deregulated power markets; distributed energy resources; distributed generation; energy trade; network support; system stakeholders; systems engineering methodology; technical conditions; virtual power plant system; Algorithm design and analysis; Business; Density estimation robust algorithm; Optimization; Power generation; Power markets; Systems engineering and theory; Distributed power generation; Power system control; Systems Engineering; Virtual power plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2012 9th International Conference on the
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-0834-2
  • Electronic_ISBN
    978-1-4673-0832-8
  • Type

    conf

  • DOI
    10.1109/EEM.2012.6254692
  • Filename
    6254692