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Composition of electricity generation portfolios, pivotal dynamics and market prices

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Abstract

We use a simulation model to study how the diversification of electricity generation portfolios influences wholesale prices. We find that technological diversification generally leads to lower market prices but that the relationship is mediated by the supply to demand ratio. In each demand case there is a threshold where pivotal dynamics change. Pivotal dynamics pre- and post-threshold are the cause of non-linearities in the influence of diversification on market prices. The findings are robust to our choice of behavioural parameters and match close-form solutions where those are available.

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Bibliographic Info

Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 1083.

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Date of creation: Nov 2007
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Handle: RePEc:upf:upfgen:1083

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Web page: http://www.econ.upf.edu/

Related research

Keywords: Electricity; market power; simulations; technology diversification;

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  1. Borenstein, Severin & Bushnell, James & Kahn, Edward & Stoft, Steven, 1995. "Market power in California electricity markets," Utilities Policy, Elsevier, vol. 5(3-4), pages 219-236.
  2. von der Fehr, Nils-Henrik Morch & Harbord, David, 1993. "Spot Market Competition in the UK Electricity Industry," Economic Journal, Royal Economic Society, vol. 103(418), pages 531-46, May.
  3. J. B. Van Huyck & R. C. Battalio & R. O. Beil, 2010. "Tacit coordination games, strategic uncertainty, and coordination failure," Levine's Working Paper Archive 661465000000000393, David K. Levine.
  4. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, EconWPA.
  5. Crawford, Gregory S. & Crespo, Joseph & Tauchen, Helen, 2007. "Bidding asymmetries in multi-unit auctions: Implications of bid function equilibria in the British spot market for electricity," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1233-1268, December.
  6. M. Soledad Arellano & Pablo Serra, 2005. "Market Power in Price-Regulated Power Industries," Documentos de Trabajo 208, Centro de Economía Aplicada, Universidad de Chile.
  7. Augusto Rupérez Micola & Albert Banal Estañol & Derek W. Bunn, 2006. "Incentives and Coordination in Vertically Related Energy Markets," CIG Working Papers SP II 2006-02, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  8. Haruvy, Ernan & Stahl, Dale O., 2004. "Deductive versus inductive equilibrium selection: experimental results," Journal of Economic Behavior & Organization, Elsevier, vol. 53(3), pages 319-331, March.
  9. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
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Cited by:
  1. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
  2. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
  3. Filomena, Tiago Pascoal & Campos-Náñez, Enrique & Duffey, Michael Robert, 2014. "Technology selection and capacity investment under uncertainty," European Journal of Operational Research, Elsevier, vol. 232(1), pages 125-136.

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