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Strategic offering of a flexible producer in day-ahead and intraday power markets

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  • Rintamäki, Tuomas
  • Siddiqui, Afzal S.
  • Salo, Ahti

Abstract

The increase in intraday electricity market volumes due to intermittent renewable generation may give a strategic producer an opportunity to exert market power. We study offering strategies of a flexible producer in day-ahead and intraday markets using a bi-level model in which the upper level represents the profit-maximization problem of the producer and the lower-level problems clear the day-ahead and intraday markets sequentially. Using a three-node network, we first demonstrate that a flexible producer with perfect forecasts can increase its profit in both markets by coordinating its offer so as to cause transmission grid congestion or lack of competitive generation capacity. Moreover, we show that strategic behavior is possible even when the day-ahead and intraday markets are cleared simultaneously to lower balancing costs. We next assess these market designs in a Nordic test network and offer an explanation for high Nordic intraday prices. Finally, via an annual simulation using the Nordic market data, we verify that strategic offering in day-ahead and intraday markets under imperfect forecasts leads to increased profits vis-à-vis perfect competition but are mitigated through simultaneous market clearing.

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  • Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2020. "Strategic offering of a flexible producer in day-ahead and intraday power markets," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1136-1153.
  • Handle: RePEc:eee:ejores:v:284:y:2020:i:3:p:1136-1153
    DOI: 10.1016/j.ejor.2020.01.044
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    1. Vera Sommer & Klaus Wohlrabe, 2016. "Historical Ifo Business Cycle Data," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(02), pages 1-45, August.
    2. Hans R. A. Koster & Jos N. van Ommeren & Piet Rietveld, 2016. "Historic amenities, income and sorting of households," Journal of Economic Geography, Oxford University Press, vol. 16(1), pages 203-236.
    3. Thomas P. Tangerås & Johannes Mauritzen, 2018. "Real‐time versus day‐ahead market power in a hydro‐based electricity market," Journal of Industrial Economics, Wiley Blackwell, vol. 66(4), pages 904-941, December.
    4. Brian A'Hearn & Nicola Amendola & Giovanni Vecchi, 2016. "On Historical Household Budgets," Rivista di storia economica, Società editrice il Mulino, issue 2, pages 137-176.
    5. Sebastian Just & Christoph Weber, 2015. "Strategic behavior in the German balancing energy mechanism: incentives, evidence, costs and solutions," Journal of Regulatory Economics, Springer, vol. 48(2), pages 218-243, October.
    6. Fleten, Stein-Erik & Kristoffersen, Trine Krogh, 2007. "Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer," European Journal of Operational Research, Elsevier, vol. 181(2), pages 916-928, September.
    7. Koichiro Ito & Mar Reguant, 2016. "Sequential Markets, Market Power, and Arbitrage," American Economic Review, American Economic Association, vol. 106(7), pages 1921-1957, July.
    8. Baringo, L. & Conejo, A.J., 2013. "Correlated wind-power production and electric load scenarios for investment decisions," Applied Energy, Elsevier, vol. 101(C), pages 475-482.
    9. Morales, Juan M. & Zugno, Marco & Pineda, Salvador & Pinson, Pierre, 2014. "Electricity market clearing with improved scheduling of stochastic production," European Journal of Operational Research, Elsevier, vol. 235(3), pages 765-774.
    10. Cialani, Catia & Mortazavi, Reza, 2018. "Household and industrial electricity demand in Europe," Energy Policy, Elsevier, vol. 122(C), pages 592-600.
    11. Gabriel, Steven A. & Leuthold, Florian U., 2010. "Solving discretely-constrained MPEC problems with applications in electric power markets," Energy Economics, Elsevier, vol. 32(1), pages 3-14, January.
    12. Johannes Mauritzen, 2015. "Now or Later? Trading Wind Power Closer to Real Time And How Poorly Designed Subsidies Lead to Higher Balancing Costs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    13. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.
    14. Christian Beer & Ernest Gnan & Maria Teresa Valderrama, 2016. "A (not so brief ) history of inflation in Austria," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 6-32.
    15. Vera Sommer & Klaus Wohlrabe, 2016. "Historische ifo-Konjunkturzeitreihen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(14), pages 36-37, July.
    16. Amountzias, Chrysovalantis & Dagdeviren, Hulya & Patokos, Tassos, 2017. "Pricing decisions and market power in the UK electricity market: A VECM approach," Energy Policy, Elsevier, vol. 108(C), pages 467-473.
    17. Knaut, Andreas & Paschmann, Martin, 2019. "Price volatility in commodity markets with restricted participation," Energy Economics, Elsevier, vol. 81(C), pages 37-51.
    18. Boomsma, Trine Krogh & Juul, Nina & Fleten, Stein-Erik, 2014. "Bidding in sequential electricity markets: The Nordic case," European Journal of Operational Research, Elsevier, vol. 238(3), pages 797-809.
    19. Knaut, Andreas & Obermüller, Frank, 2016. "How to Sell Renewable Electricity - Interactions of the Intraday and Day-ahead Market under Uncertainty," EWI Working Papers 2016-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    20. Brijs, Tom & De Vos, Kristof & De Jonghe, Cedric & Belmans, Ronnie, 2015. "Statistical analysis of negative prices in European balancing markets," Renewable Energy, Elsevier, vol. 80(C), pages 53-60.
    21. Wozabal, David & Rameseder, Gunther, 2020. "Optimal bidding of a virtual power plant on the Spanish day-ahead and intraday market for electricity," European Journal of Operational Research, Elsevier, vol. 280(2), pages 639-655.
    22. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
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    2. Liu, Chen & Shao, Zhen & Jiao, Jianling & Yang, Shanlin, 2024. "How connected is withholding capacity to electricity, fossil fuel and carbon markets? Perspectives from a high renewable energy consumption economy," Energy Policy, Elsevier, vol. 185(C).
    3. Micha{l} Narajewski & Florian Ziel, 2021. "Optimal bidding in hourly and quarter-hourly electricity price auctions: trading large volumes of power with market impact and transaction costs," Papers 2104.14204, arXiv.org, revised Feb 2022.
    4. Yang, Yan-Shen & Xie, Bai-Chen & Tan, Xu, 2024. "Impact of green power trading mechanism on power generation and interregional transmission in China," Energy Policy, Elsevier, vol. 189(C).
    5. Bjørndal, Endre & Bjørndal, Mette Helene & Coniglio, Stefano & Körner, Marc-Fabian & Leinauer, Christina & Weibelzahl, Martin, 2023. "Energy storage operation and electricity market design: On the market power of monopolistic storage operators," European Journal of Operational Research, Elsevier, vol. 307(2), pages 887-909.
    6. Hohl, Cody & Lo Prete, Chiara & Radhakrishnan, Ashish & Webster, Mort, 2023. "Intraday markets, wind integration and uplift payments in a regional U.S. power system," Energy Policy, Elsevier, vol. 175(C).
    7. Zhong, Zhiming & Fan, Neng & Wu, Lei, 2023. "A hybrid robust-stochastic optimization approach for day-ahead scheduling of cascaded hydroelectric system in restructured electricity market," European Journal of Operational Research, Elsevier, vol. 306(2), pages 909-926.
    8. Devine, Mel T. & Siddiqui, Sauleh, 2023. "Strategic investment decisions in an oligopoly with a competitive fringe: An equilibrium problem with equilibrium constraints approach," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1473-1494.
    9. Lan, Liuhan & Zhang, Xingping & Zhang, Youzhong, 2023. "Low carbon and efficiency oriented day-ahead joint electrical energy and ancillary services market clearing model for generation-side in China," Energy Economics, Elsevier, vol. 121(C).
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    11. Koolen, Derck & Huisman, Ronald & Ketter, Wolfgang, 2022. "Decision strategies in sequential power markets with renewable energy," Energy Policy, Elsevier, vol. 167(C).
    12. Narajewski, Michał & Ziel, Florian, 2020. "Ensemble forecasting for intraday electricity prices: Simulating trajectories," Applied Energy, Elsevier, vol. 279(C).

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