IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v398y2025ics0306261925011791.html

Incorporating financial entities into spot electricity market with renewable energy via holistic risk-aware bilevel optimization

Author

Listed:
  • Xiao, Dongliang
  • Peng, Zena
  • Lin, Zhenjia
  • Zhong, Xiaoqing
  • Wei, Chun
  • Dong, Zhaoyang
  • Wu, Qiuwei

Abstract

Financial entities' integration into renewable energy-rich electricity markets via virtual bidding introduces liquidity benefits but might amplify systemic risks due to their risk-driven strategies. This study develops a holistic risk-aware bi-level optimization framework to analyze their impact: the upper level optimizes virtual bids using a multi-criteria objective, including expected profit, Conditional Value-at-Risk, and Value at Best to model risk-averse, neutral, and seeking behaviors, while the lower level simulates day-ahead (DA) real-time (RT) market clearing under renewable uncertainty. This bilevel model could enable a comprehensive analysis of the impacts of various risk-aware financial entities' bidding strategies, especially aggressive bidding strategies, on both DA and RT electricity market clearing processes, which has been overlooked in most relevant research. Case studies reveal that aggressive strategies increase volatility but enhance liquidity, while risk-averse approaches stabilize prices but reduce arbitrage. Higher renewable penetration exacerbates price fluctuations, yet financial entities can mitigate this through risk-calibrated bidding. A critical bid capacity threshold emerges, beyond which marginal returns diminish and price spreads stabilize, suggesting regulatory caps to curb speculation. Results demonstrate trade-offs between market efficiency, risk exposure, and renewable integration, with moderate risk aversion optimizing risk-adjusted returns. The framework provides policymakers with tools to design adaptive market rules and helps participants align bidding strategies with grid dynamics. By unifying risk-aware decision-making, renewable uncertainty, and market design, this work bridges a critical gap in managing profitability and stability during the energy transition.

Suggested Citation

  • Xiao, Dongliang & Peng, Zena & Lin, Zhenjia & Zhong, Xiaoqing & Wei, Chun & Dong, Zhaoyang & Wu, Qiuwei, 2025. "Incorporating financial entities into spot electricity market with renewable energy via holistic risk-aware bilevel optimization," Applied Energy, Elsevier, vol. 398(C).
  • Handle: RePEc:eee:appene:v:398:y:2025:i:c:s0306261925011791
    DOI: 10.1016/j.apenergy.2025.126449
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925011791
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.126449?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Xiao, Dongliang & Lin, Zhenjia & Chen, Haoyong & Hua, Weiqi & Yan, Jinyue, 2024. "Windfall profit-aware stochastic scheduling strategy for industrial virtual power plant with integrated risk-seeking/averse preferences," Applied Energy, Elsevier, vol. 357(C).
    2. Ruoyang Li & Alva Svoboda & Shmuel Oren, 2015. "Efficiency impact of convergence bidding in the california electricity market," Journal of Regulatory Economics, Springer, vol. 48(3), pages 245-284, December.
    3. Birge, John R. & Hortaçsu, Ali & Mercadal, Ignacia & Pavlin, J. Michael, 2018. "Limits to arbitrage in electricity markets: A case study of MISO," Energy Economics, Elsevier, vol. 75(C), pages 518-533.
    4. Zhang, Hanyu & Zandehshahvar, Reza & Tanneau, Mathieu & Van Hentenryck, Pascal, 2025. "Weather-informed probabilistic forecasting and scenario generation in power systems," Applied Energy, Elsevier, vol. 384(C).
    5. Hopkins, Caroline A., 2020. "Convergence bids and market manipulation in the California electricity market," Energy Economics, Elsevier, vol. 89(C).
    6. Xiao, Dongliang & Lin, Zhenjia & Wu, Qiuwei & Meng, Anbo & Yin, Hao & Lin, Zhenhong, 2025. "Risk-factor-oriented stochastic dominance approach for industrial integrated energy system operation leveraging physical and financial flexible resources," Applied Energy, Elsevier, vol. 377(PA).
    7. Lester Hadsell & Hany A. Shawky, 2007. "One‐day forward premiums and the impact of virtual bidding on the New York wholesale electricity market using hourly data," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(11), pages 1107-1125, November.
    8. Celebi, Metin & Hajos, Attila & Hanser, Philip Q, 2010. "Virtual Bidding: The Good, the Bad and the Ugly," The Electricity Journal, Elsevier, vol. 23(5), pages 16-25, June.
    9. 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.
    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. Ehsan Samani & Mahdi Kohansal & Hamed Mohsenian-Rad, 2021. "A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants' Performance: A Case of California ISO," Papers 2109.09238, arXiv.org.
    2. Guo, Nongchao & Lo Prete, Chiara, 2019. "Cross-product manipulation with intertemporal constraints: An equilibrium model," Energy Policy, Elsevier, vol. 134(C).
    3. Anna Schwele & Christos Ordoudis & Pierre Pinson & Jalal Kazempour, 2021. "Coordination of power and natural gas markets via financial instruments," Computational Management Science, Springer, vol. 18(4), pages 505-538, October.
    4. Demir, Sumeyra & Stappers, Bart & Kok, Koen & Paterakis, Nikolaos G., 2022. "Statistical arbitrage trading on the intraday market using the asynchronous advantage actor–critic method," Applied Energy, Elsevier, vol. 314(C).
    5. Ren, Kezheng & Liu, Jun & Liu, Xinglei & Nie, Yongxin, 2023. "Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation," Applied Energy, Elsevier, vol. 336(C).
    6. Pengcheng You & Dennice F. Gayme & Enrique Mallada, 2019. "The Role of Strategic Load Participants in Two-Stage Settlement Electricity Markets," Papers 1903.08341, arXiv.org, revised Sep 2019.
    7. Hopkins, Caroline A., 2020. "Convergence bids and market manipulation in the California electricity market," Energy Economics, Elsevier, vol. 89(C).
    8. Akshaya Jha & Frank A. Wolak, 2019. "Can Financial Participants Improve Price Discovery and Efficiency in Multi-Settlement Markets with Trading Costs?," NBER Working Papers 25851, National Bureau of Economic Research, Inc.
    9. Leslie, Gordon W., 2021. "Who benefits from ratepayer-funded auctions of transmission congestion contracts? Evidence from New York," Energy Economics, Elsevier, vol. 93(C).
    10. Agostino Capponi & Garud Iyengar & Bo Yang & Daniel Bienstock, 2025. "Virtual Trading in Multi-Settlement Electricity Markets," Papers 2508.11979, arXiv.org.
    11. Zhong, Xiaoqing & Zhong, Weifeng & Lin, Zhenjia & Zhou, Guoxu & Lai, Loi Lei & Xie, Shengli & Yan, Jinyue, 2024. "Localized electricity and carbon allowance management for interconnected discrete manufacturing systems considering algorithmic and physical feasibility," Applied Energy, Elsevier, vol. 372(C).
    12. Kaiss, Mateus & Wan, Yihao & Gebbran, Daniel & Vila, Clodomiro Unsihuay & Dragičević, Tomislav, 2025. "Review on Virtual Power Plants/Virtual Aggregators: Concepts, applications, prospects and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    13. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    14. Xie, Xuehua & Qian, Tong & Li, Weiwei & Tang, Wenhu & Xu, Zhao, 2024. "An individualized adaptive distributed approach for fast energy-carbon coordination in transactive multi-community integrated energy systems considering power transformer loading capacity," Applied Energy, Elsevier, vol. 375(C).
    15. Melita Van Steenberghe & Marten Ovaere, 2025. "Market Inefficiencies in Renewable Support Policies: Evidence from Offshore Wind Contracts for Difference in Great Britain," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 25/1124, Ghent University, Faculty of Economics and Business Administration.
    16. Guo, Xiaopeng & Wang, Liyi & Ren, Dongfang, 2025. "Optimal scheduling model for virtual power plant combining carbon trading and green certificate trading," Energy, Elsevier, vol. 318(C).
    17. Zhang, Anthony Lee, 2022. "Competition and manipulation in derivative contract markets," Journal of Financial Economics, Elsevier, vol. 144(2), pages 396-413.
    18. David BENATIA & Etienne BILLETTE de VILLEMEUR, 2019. "Strategic Reneging in Sequential Imperfect Markets," Working Papers 2019-19, Center for Research in Economics and Statistics.
    19. Jan Niklas Buescher & Daria Gottwald & Florian Momm & Alexander Zureck, 2022. "Impact of the COVID-19 Pandemic Crisis on the Efficiency of European Intraday Electricity Markets," Energies, MDPI, vol. 15(10), pages 1-21, May.
    20. Vannoni, Alberto & Sorce, Alessandro, 2024. "Integrated energy and ancillary services optimized management and risk analysis within a pay-as-bid market," Applied Energy, Elsevier, vol. 371(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:appene:v:398:y:2025:i:c:s0306261925011791. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.