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An agent-based analysis of the German electricity market with transmission capacity constraints

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  • Veit, Daniel J.
  • Weidlich, Anke
  • Krafft, Jacob A.
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    Abstract

    While some agent-based models have been developed for analyzing the German electricity market, there has been little research done on the emerging issue of intra-German congestion and its effects on the bidding behavior of generator agents. Yet, studies of other markets have shown that transmission grid constraints considerably affect strategic behavior in electricity markets. In this paper, the implications of transmission constraints on power markets are analyzed for the case of Germany. Market splitting is applied in the case of congestion in the grid. For this purpose, the agent-based modeling of electricity systems (AMES) market package developed by Sun and Tesfatsion is modified to fit the German context, including a detailed representation of the German high-voltage grid and its interconnections. Implications of transmission constraints on prices and social welfare are analyzed for scenarios that include strategic behavior of market participants and high wind power generation. It can be shown that strategic behavior and transmission constraints are inter-related and may pose severe problems in the future German electricity market.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 37 (2009)
    Issue (Month): 10 (October)
    Pages: 4132-4144

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    Handle: RePEc:eee:enepol:v:37:y:2009:i:10:p:4132-4144

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Agent-based simulation Wholesale power markets Transmission grid;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Paul L. Joskow, 2001. "California's Electricity Crisis," Oxford Review of Economic Policy, Oxford University Press, vol. 17(3), pages 365-388.
    2. 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.
    3. Anke Weidlich & Daniel Veit, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 228(2+3), pages 149-172, June.
    4. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September.
    5. Brunekreeft, G. & Neuhoff, K. & Newbery, D., 2004. "Electricity transmission: an overview of the current debate," Cambridge Working Papers in Economics 0463, Faculty of Economics, University of Cambridge.
    6. Hurlbut, David & Rogas, Keith & Oren, Shmuel, 2004. "Protecting the Market from "Hockey Stick" Pricing: How the Public Utility Commission of Texas is Dealing with Potential Price Gouging," The Electricity Journal, Elsevier, vol. 17(3), pages 26-33, April.
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    Cited by:
    1. Block, C.A. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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