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Financial Transmission Rights Meet Cournot: How TCCs Curb Market Power

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  • Steven Stoft
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    Abstract

    This paper reconsiders the problem of market power when generators face a demand curve limited by a transmission constraint. After demonstrating that the problem's importance originates in an inherent ambiguity in Cournot-Nash theory, I review Oren's (1997a) argument that generators in this situation capture all congestion rents. In the one-line case, this argument depends on an untested hypothesis while in the three-line case, the Nash equilibrium was misidentified. Finally, the argument that financial transmission rights (and TCCs in particular) will have zero market value is refuted by modeling the possibility of their purchase by generators. This allows transmission owners, who initially own the TCCs, to capture some of the congestion rent. In fact when total capacity exceeds line capacity by more than the capacity of the largest generator, TCCs should attain their perfectly competitive value, thereby curbing the market power of generators.

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    Bibliographic Info

    Article provided by International Association for Energy Economics in its journal The Energy Journal.

    Volume (Year): Volume20 (1999)
    Issue (Month): Number 1 ()
    Pages: 1-23

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    Handle: RePEc:aen:journl:1999v20-01-a01

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    Cited by:
    1. Paul Joskow & Jean Tirole, 2003. "Merchant Transmission Investment," Working Papers 0304, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
    2. Hu, X. & Ralph, R., 2006. "Using EPECs to model bilevel games in restructured electricity markets with locational prices," Cambridge Working Papers in Economics 0619, Faculty of Economics, University of Cambridge.
    3. Joskow, Paul L & Tirole, Jean, 1999. "Transmission Rights and Market Power on Electric Power Networks I: Financial Rights," CEPR Discussion Papers 2093, C.E.P.R. Discussion Papers.
    4. Enzo Sauma & Shmuel Oren, 2006. "Proactive planning and valuation of transmission investments in restructured electricity markets," Journal of Regulatory Economics, Springer, vol. 30(3), pages 261-290, November.
    5. Rajnish Kamat & Shmuel Oren, 2004. "Two-settlement Systems for Electricity Markets under Network Uncertainty and Market Power," Journal of Regulatory Economics, Springer, vol. 25(1), pages 5-37, January.
    6. Sauma, Enzo E. & Oren, Shmuel S., 2009. "Do generation firms in restructured electricity markets have incentives to support social-welfare-improving transmission investments?," Energy Economics, Elsevier, vol. 31(5), pages 676-689, September.
    7. Anderson, Edward J. & Hu, Xinin & Winchester, Donald, 2007. "Forward contracts in electricity markets: The Australian experience," Energy Policy, Elsevier, vol. 35(5), pages 3089-3103, May.
    8. Enzo Sauma & Shmuel Oren, 2006. "Proactive planning and valuation of transmission investments in restructured electricity markets," Journal of Regulatory Economics, Springer, vol. 30(3), pages 358-387, November.
    9. Hu, X. & Ralph, D. & Ralph, E.K. & Bardsley, P. & Ferris, M.C., 2004. "Electricity Generation with Looped Transmission Networks: Bidding to an ISO," Cambridge Working Papers in Economics 0470, Faculty of Economics, University of Cambridge.
    10. Derek Bunn & Georg Zachmann, 2010. "Inefficient arbitrage in inter-regional electricity transmission," Journal of Regulatory Economics, Springer, vol. 37(3), pages 243-265, June.
    11. Berry, Carolyn A. & Hobbs, Benjamin F. & Meroney, William A. & O'Neill, Richard P. & StewartJr, William R., 1999. "Understanding how market power can arise in network competition: a game theoretic approach," Utilities Policy, Elsevier, vol. 8(3), pages 139-158, September.
    12. Sun, Junjie, 2005. "U.S. Financial Transmission Rights: Theory and Practice," Staff General Research Papers 12266, Iowa State University, Department of Economics.
    13. DAXHELET, Olivier & SMEERS, Yves, 1999. "Variational inequality models of restructured electricity systems," CORE Discussion Papers 1999066, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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