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A game theoretical analysis of the design options of the real-time electricity market

Author

Listed:
  • Haikel Khalfallah

    (équipe EDDEN - PACTE - Pacte, Laboratoire de sciences sociales - UPMF - Université Pierre Mendès France - Grenoble 2 - UJF - Université Joseph Fourier - Grenoble 1 - IEPG - Sciences Po Grenoble - Institut d'études politiques de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Vincent Rious

    (Microeconomix - Microeconomix)

Abstract

In this paper we study the economic consequences of two real-time electricity market designs (with or without penalties) taking into account the opportunistic behaviors of market players. We implement a two-stage dynamic model to consider the interaction between the forward market and the real-time market where market players compete in a Nash manner and rely on supply/demand function oligopoly competition. Dynamic programming is used to deal with the stochastic environment of the market and the mixed complementarity problem is employed to find a solution to the game. Numerical examples are presented to illustrate how the optimal competitor's strategies could change according to the adoption or no adoption of a balancing mechanism and to the level of the penalty imposed on imbalances, regarding a variety of producers' cost structures. The main finding of this study is that implementing balancing mechanisms would increase forward contracts while raising electricity prices. Moreover, possible use of market power would not be reduced when imbalances are penalized.

Suggested Citation

  • Haikel Khalfallah & Vincent Rious, 2013. "A game theoretical analysis of the design options of the real-time electricity market," Post-Print halshs-00816355, HAL.
    • Handle: RePEc:hal:journl:halshs-00816355
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00816355v1
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    References listed on IDEAS

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    1. Pierre-Olivier Pineau & Pauli Murto, 2003. "An Oligopolistic Investment Model of the Finnish Electricity Market," Annals of Operations Research, Springer, vol. 121(1), pages 123-148, July.
    2. E. J. Anderson & H. Xu, 2005. "Supply Function Equilibrium in Electricity Spot Markets with Contracts and Price Caps," Journal of Optimization Theory and Applications, Springer, vol. 124(2), pages 257-283, February.
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    5. Harker, Patrick T., 1991. "Generalized Nash games and quasi-variational inequalities," European Journal of Operational Research, Elsevier, vol. 54(1), pages 81-94, September.
    6. Haikel Khalfallah, 2011. "A Game theoretic model for generation capacity adequacy: Comparison between investment incentive mechanisms in electricity markets," Post-Print halshs-00743195, HAL.
    7. Willems, Bert & Rumiantseva, Ina & Weigt, Hannes, 2009. "Cournot versus Supply Functions: What does the data tell us?," Energy Economics, Elsevier, vol. 31(1), pages 38-47, January.
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    Cited by:

    1. Cédric Clastres & Haikel Khalfallah, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Post-Print hal-03193212, HAL.
    2. Clastres, Cédric & Khalfallah, Haikel, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Energy Economics, Elsevier, vol. 98(C).
    3. Cédric Clastres & Haikel Khalfallah, 2020. "Retailers' strategies facing demand response and markets interactions," Working Papers hal-03167543, HAL.

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