Divestiture of Generation Assets in the Electricity Pool of England and Wales: A Computational Approach to Analyzing Market Power
AbstractThe task of developing an adequate modeling approach to understanding strategic behavior in competitive electricity markets is still a major open research question. In this paper, we develop an approach based on computational modeling and simulation. We apply the new approach to analyzing the second round (1999) of capacity divestiture proposals, which the government and regulatory authorities in England and Wales required in order to improve the efficiency of the wholesale power market. In this context, we suggest that, for a second time, the level of market power may be underestimated and that although the proposed amount of divestiture is substantial, it may still be insufficient to avoid the need for further regulatory controls in the short term. Copyright 2001 by Kluwer Academic Publishers
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Springer in its journal Journal of Regulatory Economics.
Volume (Year): 19 (2001)
Issue (Month): 2 (March)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100298
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
- Pittman, Russell, 2007. "Restructuring the Russian electricity sector: Re-creating California?," Energy Policy, Elsevier, vol. 35(3), pages 1872-1883, March.
- Rahimiyan, Morteza & Rajabi Mashhadi, Habib, 2010. "Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics," Energy Policy, Elsevier, vol. 38(3), pages 1588-1595, March.
- Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
- Russell Pittman, 2001. "Vertical Restructuring of the Infrastructure Sectors of Transition Economies," Industrial Organization 0111002, EconWPA.
- Albert Banal-Estañol & Augusto Rupérez-Micola, 2010.
"Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case,"
443, Barcelona Graduate School of Economics.
- Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
- Bunn, Derek W. & Day, Christopher J., 2009. "Computational modelling of price formation in the electricity pool of England and Wales," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 363-376, February.
- Arocena, Pablo, 2008. "Cost and quality gains from diversification and vertical integration in the electricity industry: A DEA approach," Energy Economics, Elsevier, vol. 30(1), pages 39-58, January.
- 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.
- Azadeh, A. & Skandari, M.R. & Maleki-Shoja, B., 2010. "An integrated ant colony optimization approach to compare strategies of clearing market in electricity markets: Agent-based simulation," Energy Policy, Elsevier, vol. 38(10), pages 6307-6319, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.