Summary
In this paper we model and analyze a market equilibrium structure working on a network. The model is motivated by competition in electricity power generation markets, where consumers and producers are located in different nodes connected by power transmission lines. We analyze two different equilibrium concepts, namely, the Walrasian and the noncooperative Nash outcomes. By using concepts coming from Variational Analysis and Game Theory, we prove that both equilibria exist. Our existence proofs rely on fixed point theorems and epiconvergence stable approximations.
This work was partially supported by ICM Complex Engineering Systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arrow, K.J., G. Debreu. 1954. Existence of an equilibrium for a competitive economy. Econometrica, 22, 265–290.
Aumann, R.J. 1965. Integrals of set-valued functions. Journal of Mathematical Analysis and Aplications, 12, 1–12.
Balder, E. 2001. 2001. On equilibria for discontinuous games: Nash approximation schemes. Preprint.
Balder, E. 2004. An equilibrium existence result for games with incomplete information and indeterminate outcomes. Journal of Mathematical Economics, 40:297–320.
Billingsley, P (1968): Convergence of Probability Measures. New York, Wiley.
Day, C., B. Hobbs, J.-S. Pang. 2002. Oligopolistic competition in power markets: A conjectured supply function approach. IEEE Transactions on Power Systems, 17:597–607.
Escobar, J.F., A. Jofré. 2004. Electricity wholesale markets: An oligopoly-network framework. Submitted to Review of Economic Studies.
Escobar, J.F., A. Jofré. 2005. A Variational convergence approach for equilibrium analysis on network markets. Mimeo
Escobar, J.F., A. Jofré, R. Palma. 2005. A bid-based pool power market model: Theory and computation. Mimeo
Fudenberg D., and J. Tirole (1991): Game Theory. Cambridge, MIT Press.
Green, R.J., D. Newbery. 1992. Competition in the British electricity spot market. Journal of Political Economy, 100:929–953.
Hobbs, B.F., C.B. Metzler, J.-S. Pang. 2000. Strategic gaming analysis for electric power networks: An MPEC approach. IEEE Transactions on Power Systems, 15:638–645.
IEEE PES Tutorial. 1999. Game Theory Applications in Electric Power Markets. IEEE.
Jofré, A., R.T. Rockafellar, R.J-B Wets. 2005. A variational inequality scheme for determining economic equilibrium Variational Analysis and Applications. F. Giannessi, A. Maugeri, eds. Kluwer, Boston.
Klemperer P., M. Meyer. 1989. Supply function equilibria in oligopoly under uncertainty. Econometrica, 57:1243–1277.
Motto, A., F. Galiana, A. Conejo, M. Haneault. 2003. On Walrasian equilibrium for pool-based electricity markets. IEEE Transactions on Power Systems, 17:774–781.
Nagurney, A. 1999. Network Economics: A Variational Inequality Approach. Kluwer, Boston.
Pang, J.-S., B. Hobbs. 2002. Spatial oligopolistic equilibria with arbitrage, shared resources, and price functions conjectures. To appear Mathematical Programming.
Rockafellar, R.T., R.J-B Wets. 1998. Variational Analysis. Springer, New York.
Schweppe, F., M. Caramanis, R. Tabors, R. Bohn. 1988. Spot Pricing of Electricity. Kluwer, Boston.
Wei, J.-Y., Y. Smeers. 1999. Spatial oligopolistic models with Cournot firms and regulated transmission prices. Operations Research, 47:102–112.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
Escobar, J.F., Jofré, A. (2006). Equilibrium Analysis for a Network Market Model. In: Kurdila, A.J., Pardalos, P.M., Zabarankin, M. (eds) Robust Optimization-Directed Design. Nonconvex Optimization and Its Applications, vol 81. Springer, Boston, MA. https://doi.org/10.1007/0-387-28654-3_3
Download citation
DOI: https://doi.org/10.1007/0-387-28654-3_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-28263-3
Online ISBN: 978-0-387-28654-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)