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
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