IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2014_029.html

Market Power in a Power Market with Transmission Constraints

Author

Listed:
  • Bjørndal, Mette

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Gribkovskaia, Victoria

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Jörnsten, Kurt

    (Dept. of Business and Management Science, Norwegian School of Economics)

Abstract

In this paper we present a model for analysing the strategic behaviour of a generator and its short run implications on an electricity network with transmission constraints. The problem is formulated as a Stackelberg leader-follower game. The upper level problem is generator’s profit maximisation subject to the solution of the lower level problem of optimal power flow (OPF) solved by system operator. Strategic bidding is modelled as an iterative procedure where the supply functions of the competitive fringe are fixed while the strategic player’s bids are changed in a successive order until the bid giving maximum profit is found. This application rests on the assumption of supply function Nash equilibrium when the supplier believes that changes in his bids will not influence other actors to alter their bid functions. Numerical examples are presented on a simple triangular network.

Suggested Citation

  • Bjørndal, Mette & Gribkovskaia, Victoria & Jörnsten, Kurt, 2014. "Market Power in a Power Market with Transmission Constraints," Discussion Papers 2014/29, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2014_029
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11250/217645
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    3. 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.
    4. repec:aen:journl:1997v18-04-a05 is not listed on IDEAS
    5. Cardell, Judith B. & Hitt, Carrie Cullen & Hogan, William W., 1997. "Market power and strategic interaction in electricity networks," Resource and Energy Economics, Elsevier, vol. 19(1-2), pages 109-137, March.
    6. Xinmin Hu & Daniel Ralph, 2007. "Using EPECs to Model Bilevel Games in Restructured Electricity Markets with Locational Prices," Operations Research, INFORMS, vol. 55(5), pages 809-827, October.
    7. Andreas Ehrenmann & Karsten Neuhoff, 2009. "A Comparison of Electricity Market Designs in Networks," Operations Research, INFORMS, vol. 57(2), pages 274-286, April.
    8. repec:aen:journl:1999v20-01-a01 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Spiridonova, Olga, 2016. "Transmission capacities and competition in Western European electricity market," Energy Policy, Elsevier, vol. 96(C), pages 260-273.
    2. Xinmin Hu & Daniel Ralph, 2007. "Using EPECs to Model Bilevel Games in Restructured Electricity Markets with Locational Prices," Operations Research, INFORMS, vol. 55(5), pages 809-827, October.
    3. Neuhoff, Karsten & Barquin, Julian & Boots, Maroeska G. & Ehrenmann, Andreas & Hobbs, Benjamin F. & Rijkers, Fieke A.M. & Vazquez, Miguel, 2005. "Network-constrained Cournot models of liberalized electricity markets: the devil is in the details," Energy Economics, Elsevier, vol. 27(3), pages 495-525, May.
    4. Cristian Zambrano & Yris Olaya, 2017. "An agent-based simulation approach to congestion management for the Colombian electricity market," Annals of Operations Research, Springer, vol. 258(2), pages 217-236, November.
    5. 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.
    6. David Pozo & Enzo Sauma & Javier Contreras, 2017. "Basic theoretical foundations and insights on bilevel models and their applications to power systems," Annals of Operations Research, Springer, vol. 254(1), pages 303-334, July.
    7. Xinmin Hu & Daniel Ralph & Eric K. Ralph & Peter Bardsley & Michael C. Ferris, 2004. "Electricity Generation with Looped Transmission Networks: Bidding to an ISO," Working Papers EP65, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Fernández, Mauricio & Muñoz, Francisco D. & Moreno, Rodrigo, 2020. "Analysis of imperfect competition in natural gas supply contracts for electric power generation: A closed-loop approach," Energy Economics, Elsevier, vol. 87(C).
    9. Grimm, Veronika & Schewe, Lars & Schmidt, Martin & Zöttl, Gregor, 2017. "Uniqueness of market equilibrium on a network: A peak-load pricing approach," European Journal of Operational Research, Elsevier, vol. 261(3), pages 971-983.
    10. Dzikri Firmansyah Hakam, 2018. "Market Power Modelling in Electricity Market: A Critical Review," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 347-356.
    11. Benjamin F. Hobbs & J. S. Pang, 2007. "Nash-Cournot Equilibria in Electric Power Markets with Piecewise Linear Demand Functions and Joint Constraints," Operations Research, INFORMS, vol. 55(1), pages 113-127, February.
    12. Neetzow, Paul & Mendelevitch, Roman & Siddiqui, Sauleh, 2019. "Modeling coordination between renewables and grid: Policies to mitigate distribution grid constraints using residential PV-battery systems," Energy Policy, Elsevier, vol. 132(C), pages 1017-1033.
    13. Valentin Bertsch & Wolf Fichtner, 2016. "A participatory multi-criteria approach for power generation and transmission planning," Annals of Operations Research, Springer, vol. 245(1), pages 177-207, October.
    14. 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.
    15. Ming Hu & Masao Fukushima, 2011. "Variational Inequality Formulation of a Class of Multi-Leader-Follower Games," Journal of Optimization Theory and Applications, Springer, vol. 151(3), pages 455-473, December.
    16. Alberto Orgaz & Antonio Bello & Javier Reneses, 2019. "A New Model to Simulate Local Market Power in a Multi-Area Electricity Market: Application to the European Case," Energies, MDPI, vol. 12(11), pages 1-15, May.
    17. E. Anderson & A. Philpott & H. Xu, 2007. "Modelling the effects of interconnection between electricity markets subject to uncertainty," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 65(1), pages 1-26, February.
    18. Richard Green, 2007. "Nodal pricing of electricity: how much does it cost to get it wrong?," Journal of Regulatory Economics, Springer, vol. 31(2), pages 125-149, April.
    19. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    20. Krebs, Vanessa & Schewe, Lars & Schmidt, Martin, 2018. "Uniqueness and multiplicity of market equilibria on DC power flow networks," European Journal of Operational Research, Elsevier, vol. 271(1), pages 165-178.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2014_029. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stein Fossen (email available below). General contact details of provider: https://edirc.repec.org/data/dfnhhno.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.