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The roubstness of agent-based models of electricity wholesale markets

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  • Newberry, D.

Abstract

Agent-based modelling is an attractive way of finding equilibria in complex problems involving strategic behaviour, particularly in electricity markets with transmission constraints. However, while it may be possible to demonstrate convergence of learning behaviour to a Nash equilibrium, that is not sufficient to establish that the equilibrium is robust against more sophisticated strategy choices. This note examines two particular forms of agent-based modelling used in electricity market models, both variants of mark-up pricing, and demonstrates that they are robust against other strategies.Keywords: Electric utilities, industrial policy, political economy

Suggested Citation

  • Newberry, D., 2012. "The roubstness of agent-based models of electricity wholesale markets," Cambridge Working Papers in Economics 1228, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:1228
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    References listed on IDEAS

    as
    1. Derek W. Bunn and Fernando Oliveira, 2001. "An Application of Agent-based Simulation to the New Electricity Trading Arrangements of England and Wales," Computing in Economics and Finance 2001 93, Society for Computational Economics.
    2. Zhang, T. & Nuttall, W.J., 2007. "An Agent Based Simulation Of Smart Metering Technology Adoption," Cambridge Working Papers in Economics 0760, Faculty of Economics, University of Cambridge.
    3. Green, Richard J & Newbery, David M, 1992. "Competition in the British Electricity Spot Market," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 929-953, October.
    4. Mahenc, P. & Salanie, F., 2004. "Softening competition through forward trading," Journal of Economic Theory, Elsevier, vol. 116(2), pages 282-293, June.
    5. 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.
    6. MURPHY, Frédéric & SMEERS, Yves, 2010. "On the impact of forward markets on investments in oligopolistic markets with reference to electricity," LIDAM Reprints CORE 2216, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Grant, Simon & Quiggin, John, 1994. "Nash equilibrium with mark-up-pricing oligopolists," Economics Letters, Elsevier, vol. 45(2), pages 245-251, June.
    8. Frederic Murphy & Yves Smeers, 2010. "On the Impact of Forward Markets on Investments in Oligopolistic Markets with Reference to Electricity," Operations Research, INFORMS, vol. 58(3), pages 515-528, June.
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    More about this item

    Keywords

    agent-based modelling; electricity markets; mark-up equilibria; stability; oligopoly; learning;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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