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The Inc-Dec Game and How to Mitigate It

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Abstract

The power exchange and the real-time markets used by the system operator differ in how system constraints are managed. This can result in regulatory arbitrage, which can increase consumer costs, increase the risk of power outages and distort investment incentives. This paper uses a game-theoretical approach to study these problems and proposes various measures to reduce them. For example, zones and grid tariffs can be adjusted. Moreover, regulations of real-time markets can improve, and transmission system operators can implement measures to increase the capacity of the existing grid.

Suggested Citation

  • Holmberg, Pär, 2024. "The Inc-Dec Game and How to Mitigate It," Working Paper Series 1512, Research Institute of Industrial Economics.
    • Handle: RePEc:hhs:iuiwop:1512
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    1. Eicke, Anselm & Khanna, Tarun & Hirth, Lion, 2020. "Locational investment signals - How to steer the siting of new generation capacity in power systems?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 41(6), pages 281-304.
    2. Newbery, David M. & Biggar, Darryl R., 2024. "Marginal curtailment of wind and solar PV: Transmission constraints, pricing and access regimes for efficient investment," Energy Policy, Elsevier, vol. 191(C).
    3. Ignacio J. Pérez-Arriaga, Jesse D. Jenkins, and Carlos Batlle, 2017. "A regulatory framework for an evolving electricity sector: Highlights of the MIT utility of the future study," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    4. E. J. Anderson & H. Xu, 2004. "Nash equilibria in electricity markets with discrete prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 60(2), pages 215-238, October.
    5. Newbery, D. & Biggar, D., 2024. "Marginal curtailment of wind and solar PV: transmission constraints, pricing and access regimes for efficient investment," Cambridge Working Papers in Economics 2405, Faculty of Economics, University of Cambridge.
    6. David Newbery & Darryl Biggar, 2024. "Marginal curtailment of wind and solar PV: transmission constraints, pricing and access regimes for efficient investment," Working Papers EPRG2401, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Intini, Mario & Waterson, Michael, 2023. "Strategic behaviour by wind generators: An empirical investigation," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    8. Anselm Eicke & Tarun Khanna & Lion Hirth, 2020. "Locational Investment Signals: How to Steer the Siting of New Generation Capacity in Power Systems?," The Energy Journal, , vol. 41(6), pages 281-304, November.
    9. Christoph Graf & Thomas Kuppelwieser & David Wozabal, 2024. "Frequent Auctions for Intraday Electricity Markets," The Energy Journal, , vol. 45(1), pages 231-256, January.
    10. Jahns, Christopher & Stein, Tobias & Höckner, Jonas & Weber, Christoph, 2023. "Prevention of strategic behaviour in local flexibility markets using market monitoring – Concept, application example and limitations," Energy Policy, Elsevier, vol. 174(C).
    11. Par Holmberg & Ewa Lazarczyk, 2015. "Comparison of Congestion Management Techniques: Nodal, Zonal and Discriminatory Pricing," The Energy Journal, , vol. 36(2), pages 145-166, April.
    12. Eicke, Anselm & Schittekatte, Tim, 2022. "Fighting the wrong battle? A critical assessment of arguments against nodal electricity prices in the European debate," Energy Policy, Elsevier, vol. 170(C).
    13. Orlando Valarezo & Tomás Gómez & José Pablo Chaves-Avila & Leandro Lind & Mauricio Correa & David Ulrich Ziegler & Rodrigo Escobar, 2021. "Analysis of New Flexibility Market Models in Europe," Energies, MDPI, vol. 14(12), pages 1-24, June.
    14. Pär Holmberg and Ewa Lazarczyk, 2015. "Comparison of congestion management techniques: Nodal, zonal and discriminatory pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    15. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    16. Pollitt, M. G., 2023. "Locational Marginal Prices (LMPs) for Electricity in Europe? The Untold Story," Cambridge Working Papers in Economics 2352, Faculty of Economics, University of Cambridge.
    17. Neuhoff, Karsten & Richstein, Jörn & May, Nils, 2016. "Auctions for Intraday -Trading Impacts on efficient power markets and secure system operation," EconStor Research Reports 148282, ZBW - Leibniz Information Centre for Economics.
    18. Martin Palovic & Christine Brandstätt & Gert Brunekreeft & Marius Buchmann, 2021. "Strategisches Verhalten bei marktbasiertem Redispatch: Die internationalen Erfahrungen," Bremen Energy Working Papers 0036, Bremen Energy Research.
    19. Radecke, Julia & Hefele, Joseph & Hirth, Lion, 2019. "Markets for Local Flexibility in Distribution Networks," EconStor Preprints 204559, ZBW - Leibniz Information Centre for Economics.
    20. Hadsell, Lester, 2007. "The impact of virtual bidding on price volatility in New York's wholesale electricity market," Economics Letters, Elsevier, vol. 95(1), pages 66-72, April.
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    More about this item

    Keywords

    Congestion management; Zonal pricing; Countertrading; Redispatch; Real-time market; Regulatory arbitrage; Inc-dec game;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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