• DocumentCode
    2537994
  • Title

    A multidisciplinary approach to model long-term investments in electricity generation: Combining System Dynamics, credit risk theory and game theory

  • Author

    Sanchez, J.J. ; Barquin, J. ; Centeno, E. ; Lopez-Pea, A.

  • Author_Institution
    Inst. de Investig. Tecnol., Univ. Pontificia de Comillas, Madrid
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper provides a new multidisciplinary approach to model long-term planning of electricity generation. The aim of this approach is to improve several aspects of system-dynamics based models in the literature in terms of companiespsila differentiation in imperfect markets. To do this, system dynamics is combined with credit risk theory and game theory. Particularly, this paper presents in detail the part of the model which focuses on companiespsila differentiation when calculating the expected profitability of possible new investments. This approach can be used as a tool to analyse long-term dynamics of electricity markets and the way the new generation capacity enters into these markets under different hypothesis of companiespsila strategies and regulatory policies. A case study based in the Spanish market to show the potential of this approach is presented.
  • Keywords
    game theory; power generation planning; power markets; risk analysis; Spanish market; credit risk theory; electricity generation; game theory; long-term planning model; multidisciplinary approach; system-dynamics based models; Electricity supply industry; Electricity supply industry deregulation; Game theory; Investments; Optimization methods; Power generation; Power system modeling; Profitability; Sustainable development; Uncertainty; Credit Risk Theory; Electricity Markets; Game Theory; Generation Expansion Planning; System Dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596452
  • Filename
    4596452