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An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand

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  • Wang, Jianhui
  • Zhou, Zhi
  • Botterud, Audun

Abstract

In this paper we propose an evolutionary imperfect information game approach to analyzing bidding strategies in electricity markets with price-elastic demand. In previous research, opponent generation companies’ (GENCOs’) bidding strategies were assumed to be fixed or subject to a fixed probability distribution. In contrast, the adaptive and learning agents in the presented model can dynamically update their beliefs about opponents’ bidding strategies during the simulation. GENCOs are represented as different species in the coevolutionary algorithm to search the equilibrium. By modeling the evolutionary gaming behavior of GENCOs, the simulation can capture the dynamics of GENCOs’ strategy change. This is important for analyzing transitory behavior of agents in the market in addition to the long-run equilibrium state. Simulations show that due to the adaptive learning, the bidding evolution is different from the one in the traditional game.

Suggested Citation

  • Wang, Jianhui & Zhou, Zhi & Botterud, Audun, 2011. "An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand," Energy, Elsevier, vol. 36(5), pages 3459-3467.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:3459-3467
    DOI: 10.1016/j.energy.2011.03.050
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    References listed on IDEAS

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    1. Carraretto, Cristian & Zigante, Andrea, 2006. "Interaction among competitive producers in the electricity market: An iterative market model for the strategic management of thermal power plants," Energy, Elsevier, vol. 31(15), pages 3145-3158.
    2. Liu, Zhen & Zhang, Xiliang & Lieu, Jenny, 2010. "Design of the incentive mechanism in electricity auction market based on the signaling game theory," Energy, Elsevier, vol. 35(4), pages 1813-1819.
    3. Nelson, Richard R & Winter, Sidney G, 1980. "Firm and Industry Response to Changed Market Conditions: An Evolutionary Approach," Economic Inquiry, Western Economic Association International, vol. 18(2), pages 179-202, April.
    4. 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.
    5. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, April.
    6. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    7. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-337, May.
    8. Tony Curson Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Levine's Working Paper Archive 588, David K. Levine.
    9. Tony Curzon Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 219-254.
    10. Al-Agtash, Salem Y., 2010. "Supply curve bidding of electricity in constrained power networks," Energy, Elsevier, vol. 35(7), pages 2886-2892.
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