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Heterogeneous risk preferences in community-based electricity markets

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  • Moret, Fabio
  • Pinson, Pierre
  • Papakonstantinou, Athanasios

Abstract

Organization in electricity markets is evolving from centralized pool-based to decentralized peer-to-peer structures. Within this decentralized framework, agents are expected to individually procure their energy, while directly negotiating with other market participants. Since distributed power generation is mostly based on non-dispatchable energy resources with zero marginal cost, any proposed decentralized negotiation mechanism needs to account for uncertainties. When operating uncertain assets, decision makers are affected by subjective attitudes towards uncertain payoffs, impacting not only their energy procurement but also the whole market equilibrium. We propose a new definition of fairness in risky environments and show that, in decentralized electricity markets, heterogeneous risk aversion of participants compromises fairness of the resulting market payments. Consequently, we introduce financial contracts as risk hedging mechanisms and evaluate their impact on market equilibrium and payments. We show that by trading financial products, fairness is restored.

Suggested Citation

  • Moret, Fabio & Pinson, Pierre & Papakonstantinou, Athanasios, 2020. "Heterogeneous risk preferences in community-based electricity markets," European Journal of Operational Research, Elsevier, vol. 287(1), pages 36-48.
    • Handle: RePEc:eee:ejores:v:287:y:2020:i:1:p:36-48
    DOI: 10.1016/j.ejor.2020.04.034
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    as
    1. Roger B. Myerson, 2008. "Perspectives on Mechanism Design in Economic Theory," American Economic Review, American Economic Association, vol. 98(3), pages 586-603, June.
    2. Doege, Jörg & Fehr, Max & Hinz, Juri & Lüthi, Hans-Jakob & Wilhelm, Martina, 2009. "Risk management in power markets: The Hedging value of production flexibility," European Journal of Operational Research, Elsevier, vol. 199(3), pages 936-943, December.
    3. Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
    4. Yumi Oum & Shmuel Oren & Shijie Deng, 2006. "Hedging quantity risks with standard power options in a competitive wholesale electricity market," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 697-712, October.
    5. Andy Philpott & Vitor de Matos & Erlon Finardi, 2013. "On Solving Multistage Stochastic Programs with Coherent Risk Measures," Operations Research, INFORMS, vol. 61(4), pages 957-970, August.
    6. Le Cadre, Hélène & Jacquot, Paulin & Wan, Cheng & Alasseur, Clémence, 2020. "Peer-to-peer electricity market analysis: From variational to Generalized Nash Equilibrium," European Journal of Operational Research, Elsevier, vol. 282(2), pages 753-771.
    7. Lemaire, Jean, 1984. "An Application of Game Theory: Cost Allocation," ASTIN Bulletin, Cambridge University Press, vol. 14(1), pages 61-81, April.
    8. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    9. Antonio J. Conejo & Miguel Carrión & Juan M. Morales, 2010. "Decision Making Under Uncertainty in Electricity Markets," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7421-1, December.
    10. Sousa, Tiago & Soares, Tiago & Pinson, Pierre & Moret, Fabio & Baroche, Thomas & Sorin, Etienne, 2019. "Peer-to-peer and community-based markets: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 367-378.
    11. Tushar, Wayes & Saha, Tapan Kumar & Yuen, Chau & Azim, M. Imran & Morstyn, Thomas & Poor, H. Vincent & Niyato, Dustin & Bean, Richard, 2020. "A coalition formation game framework for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 261(C).
    12. Baron, David P, 1979. "On the Relationship between Complete and Incomplete Financial Market Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 105-117, February.
    13. Varian, Hal R, 1987. "The Arbitrage Principle in Financial Economics," Journal of Economic Perspectives, American Economic Association, vol. 1(2), pages 55-72, Fall.
    14. Thomas Morstyn & Niall Farrell & Sarah J. Darby & Malcolm D. McCulloch, 2018. "Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants," Nature Energy, Nature, vol. 3(2), pages 94-101, February.
    15. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    16. Falbo, P. & Felletti, D. & Stefani, S., 2010. "Integrated risk management for an electricity producer," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1620-1627, December.
    Full references (including those not matched with items on IDEAS)

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    4. Qiang Chen & Anush Balian & Mykola Kyzym & Tetiana Salashenko & Inna Gryshova & Viktoriia Khaustova, 2021. "Electricity Markets Instability: Causes of Price Dispersion," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
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    7. Xinxin Ma, 2022. "Social Insurances and Risky Financial Market Participation: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(10), pages 2957-2975, August.
    8. Shama Naz Islam & Aiswarya Sivadas, 2022. "Optimisation of Buyer and Seller Preferences for Peer-to-Peer Energy Trading in a Microgrid," Energies, MDPI, vol. 15(12), pages 1-29, June.

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