• DocumentCode
    3532049
  • Title

    Optimal dispatch of Distributed Energy Resources included in a Virtual Power Plant for participating in a day-ahead market

  • Author

    Peikherfeh, M. ; Seifi, H. ; Sheikh-El-Eslami, M.K.

  • Author_Institution
    Fac. of Comput. & Electr. Eng., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2011
  • fDate
    14-16 June 2011
  • Firstpage
    204
  • Lastpage
    210
  • Abstract
    Variability and uncertainty are intrinsic characteristics of power systems. On the other hand, high penetration of Distributed Energy Resources (DERs), especially variable output generations such as winds and photovoltaic systems, exceeds the expected variability and uncertainty of a power system. In this situation, the integration of a DER portfolio can be done following the concept of aggregation of these resources. If several DER units are linked together and are operated as one unit this concept is often called a Virtual Power Plant (VPP). The aim of this paper is to carry out an optimal dispatch that the operator of a VPP is able to maximize its profit in consideration of the relevant technical and economical constraints as well as some existing uncertainties. The profit maximization problem also considers demand side bidding for dispatchable loads, Renewable Obligation Certificate (ROC) for renewable based Distributed Generations (DGs) and the cost related to Use of System (UoS) charges to Distribution System Operator (DSO). The simulation results for a typical system demonstrate the effectiveness of the method.
  • Keywords
    distributed power generation; power distribution economics; power generation dispatch; power markets; DER; DG; DSO; ROC; UoS; VPP; day-ahead market; demand side bidding; distributed energy resource; distributed generation; distribution system operator; optimal load dispatching; profit maximization problem; renewable obligation certificate; use of system; variable output generation; virtual power plant; Biological system modeling; Density estimation robust algorithm; Energy resources; Forecasting; Load modeling; Power generation; Uncertainty; Day-Ahead Market; Distributed Energy Resources (DER); Distributed Generation (DG); Distribution System Operator (DSO); Renewable Obligation Certificate (ROC); Virtual Power Plant (VPP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Electrical Power (ICCEP), 2011 International Conference on
  • Conference_Location
    Ischia
  • Print_ISBN
    978-1-4244-8929-9
  • Electronic_ISBN
    978-1-4244-8928-2
  • Type

    conf

  • DOI
    10.1109/ICCEP.2011.6036275
  • Filename
    6036275