• DocumentCode
    3014003
  • Title

    Photovoltaic energy in power market

  • Author

    Ho, D.T. ; Frunt, J. ; Myrzik, J.M.A.

  • Author_Institution
    Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2009
  • fDate
    27-29 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Photovoltaic (PV) penetration in the grid connected power system has been growing. Currently, PV electricity is usually directly sold back to the energy supplier at a fixed price nd subsidy. However, subsidies should always be a temporary policy, and will eventually be terminated. A question is raised whether grid-connected PV generation will be more beneficial by making biddings in power markets than by supplying at a fixed price. An economic model of profit maximization for PV generation when joining power markets is proposed to answer the question. A simplified model is applied to simulate a case study of PV biddings in the Amsterdam Power exchange (APX) spot market, using PV generation data from a standardized neighborhood PV installation. A Monte Carlo method is used to calculate penalty costs due to over-predicted irradiation. Also a Monte Carlo simulation is applied to survey a number of random imbalance capacities and corresponding prices within a Gaussian distribution by repeating the calculation loop. The sensitivity for prediction errors is examined by simulations with different unpredictability levels of solar irradiation. The outcome of the simulations is a value for the difference between the two revenues of PV generation when joining power markets and when supplying at a fixed price.
  • Keywords
    Gaussian distribution; Monte Carlo methods; photovoltaic power systems; power generation economics; power grids; power markets; Amsterdam power exchange spot market; Gaussian distribution; Monte Carlo method; economic model; grid connected power system; photovoltaic energy; prediction error sensitivity; simulation; solar irradiation; Costs; Economic forecasting; Gaussian distribution; Mesh generation; Photovoltaic systems; Power generation; Power generation economics; Power markets; Predictive models; Solar power generation; Monte Carlo methods; Photovoltaic power systems; Power generation dispatch; Power generation economics; Power system economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Market, 2009. EEM 2009. 6th International Conference on the European
  • Conference_Location
    Leuven
  • Print_ISBN
    978-1-4244-4455-7
  • Type

    conf

  • DOI
    10.1109/EEM.2009.5207161
  • Filename
    5207161