• DocumentCode
    1331437
  • Title

    Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part II: Numerical Analysis

  • 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
    957
  • Lastpage
    964
  • Abstract
    This paper is to evaluate the presented model in part I for bidding strategy of virtual power plant (VPP) with centralized control in a joint market of energy and spinning reserve service. Two test VPPs are introduced and different scenarios are considered for markets prices. At first, the participation of VPP in only energy market is studied. Then, the spinning reserve market is taken into consideration and the bids of VPP in a joint market of energy and spinning reserve service is studied under different scenarios of markets prices and the results are analyzed. In all cases, the results show the effectiveness and the quality of the procedure and validate the proposed model.
  • Keywords
    numerical analysis; power markets; power plants; bidding strategy; centralized control; energy market; numerical analysis; spinning reserve markets; virtual power plant; Density estimation robust algorithm; Joints; Load modeling; Numerical models; Power generation; Production; 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.2010.2070883
  • Filename
    5582177