• DocumentCode
    1331768
  • Title

    Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation

  • Author

    Mashhour, Elaheh ; Moghaddas-Tafreshi, Seyed Masoud

  • Author_Institution
    Fac. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    949
  • Lastpage
    956
  • Abstract
    This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing constraint and security constraints of VPP itself into account. The presented model creates a single operating profile from a composite of the parameters characterizing each distributed energy resources (DER), which is a component of VPP, and incorporates network constraints into its description of the capabilities of the portfolio. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and solved by genetic algorithm (GA).
  • Keywords
    distributed power generation; energy resources; genetic algorithms; integer programming; nonlinear programming; power generation dispatch; power generation economics; power generation scheduling; power markets; power system security; supply and demand; bidding strategy; deterministic price-based unit commitment; distributed energy resource; energy joint market; genetic algorithm; inter-temporal constraint; nonequilibrium model; nonlinear mixed-integer programming; security constraint; spinning reserve service; supply-demand balancing constraint; virtual power plant; Computational modeling; Density estimation robust algorithm; Electricity; Europe; Portfolios; Power generation; Spinning; Bidding strategy; energy market; spinning reserve market; virtual power plant;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2070884
  • Filename
    5582225