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How to manage flexible nuclear power plants in a deregulated electricity market from the point of view of social welfare?

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  • Pascal Gourdel

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Maria Lykidi

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Flexible nuclear power plants can adjust their electricity production to the predicted evolution of demand. Under certain conditions, flexible operation is necessary to ensure the stability of the electricity system. However, despite the potential advantages of nuclear energy including the flexibility of nuclear reactors, the social acceptance of nuclear has reduced after the Fukushima accident, leading some countries to reduce or even phase out nuclear (e.g. Germany). So, a question that arises is how flexible nuclear power plants have to be operated in order to maximize social welfare. The French nuclear fleet gives an illustration of flexible management while social acceptance of nuclear is questioned; this was reflected in the new French Energy Transition law. Theoretically and numerically, we found that the production behavior that maximizes social welfare is characterized by a constant thermal production and a totally flexible nuclear production given sufficient nuclear capacity. Energy

Suggested Citation

  • Pascal Gourdel & Maria Lykidi, 2015. "How to manage flexible nuclear power plants in a deregulated electricity market from the point of view of social welfare?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01477134, HAL.
    • Handle: RePEc:hal:cesptp:hal-01477134
    DOI: 10.1016/j.energy.2015.03.032
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    References listed on IDEAS

    as
    1. Pascal Gourdel & Maria Lykidi, 2014. "The optimal short-term management of flexible nuclear plants in a competitive electricity system as a case of competition with reservoir," Post-Print halshs-01053474, HAL.
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    Cited by:

    1. Dong, Zhe & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Multi-layer perception based model predictive control for the thermal power of nuclear superheated-steam supply systems," Energy, Elsevier, vol. 151(C), pages 116-125.
    2. Dong, Zhe & Pan, Yifei, 2018. "A lumped-parameter dynamical model of a nuclear heating reactor cogeneration plant," Energy, Elsevier, vol. 145(C), pages 638-656.
    3. Lauer, Markus & Thrän, Daniela, 2017. "Biogas plants and surplus generation: Cost driver or reducer in the future German electricity system?," Energy Policy, Elsevier, vol. 109(C), pages 324-336.
    4. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Dynamical modeling and simulation of the six-modular high temperature gas-cooled reactor plant HTR-PM600," Energy, Elsevier, vol. 155(C), pages 971-991.
    5. Jiang, Di & Dong, Zhe, 2019. "Practical dynamic matrix control of MHTGR-based nuclear steam supply systems," Energy, Elsevier, vol. 185(C), pages 695-707.
    6. Scharff, Richard & Amelin, Mikael, 2016. "Trading behaviour on the continuous intraday market Elbas," Energy Policy, Elsevier, vol. 88(C), pages 544-557.
    7. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2017. "Model-free adaptive control law for nuclear superheated-steam supply systems," Energy, Elsevier, vol. 135(C), pages 53-67.
    8. Crampes, Claude & Renault, Jérôme, 2018. "Supply flexibility in electricity markets," TSE Working Papers 18-964, Toulouse School of Economics (TSE).
    9. Lykidi, Maria & Gourdel, Pascal, 2017. "Optimal management of flexible nuclear power plants in a decarbonising competitive electricity market: The French case," Energy, Elsevier, vol. 132(C), pages 171-185.
    10. Lynch, Arthur & Perez, Yannick & Gabriel, Sophie & Mathonniere, Gilles, 2022. "Nuclear fleet flexibility: Modeling and impacts on power systems with renewable energy," Applied Energy, Elsevier, vol. 314(C).
    11. Zhe Dong & Yifei Pan & Zuoyi Zhang & Yujie Dong & Xiaojin Huang, 2017. "Modeling and Control of Fluid Flow Networks with Application to a Nuclear-Solar Hybrid Plant," Energies, MDPI, vol. 10(11), pages 1-21, November.
    12. Crampes, Claude & Renault, Jérôme, 2019. "How many markets for wholesale electricity when supply ispartially flexible?," Energy Economics, Elsevier, vol. 81(C), pages 465-478.
    13. Chen, Yingwen & Chen, Liuliu & Li, Peiwen & Xu, Yuan & Fan, Mengjie & Zhu, Shemin & Shen, Shubao, 2016. "Enhanced performance of microbial fuel cells by using MnO2/Halloysite nanotubes to modify carbon cloth anodes," Energy, Elsevier, vol. 109(C), pages 620-628.
    14. Dong, Zhe & Liu, Miao & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2019. "Automatic generation control for the flexible operation of multimodular high temperature gas-cooled reactor plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 11-31.
    15. Alhadhrami, Saeed & Soto, Gabriel J & Lindley, Ben, 2023. "Dispatch analysis of flexible power operation with multi-unit small modular reactors," Energy, Elsevier, vol. 280(C).
    16. Srikanth Reddy & Lokesh Panwar & Bijaya Ketan Panigrahi & Rajesh Kumar & Lalit Goel & Ameena Saad Al-Sumaiti, 2020. "A profit-based self-scheduling framework for generation company energy and ancillary service participation in multi-constrained environment with renewable energy penetration," Energy & Environment, , vol. 31(4), pages 549-569, June.

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