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Provision of Demand Response from the prosumers in multiple markets

Author

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  • Cédric Clastres

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Olivier Rebenaque

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, CEC - Chaire Economie du Climat - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

  • Patrick Jochem

    (DLR - German Aerospace Center)

Abstract

Prosumers have different choices to maximize their photovoltaic (PV) self-consumption such as demand response (DR) or storage. In this paper, we investigate the prosumers' profits related to the demand response provision. An optimization model is developed which allows the prosumer to bid in DR markets. We focus on two French markets: the NEBEF and the capacity market in which a signal is provided 24h before the real-time. We show that the prosumers are encouraged to provide a DR but the profits are too low compared to the battery investment. We derive a DR premium to foster battery adoption. The premium level depends on the retail rate structure but also on the load curve uncertainty.

Suggested Citation

  • Cédric Clastres & Olivier Rebenaque & Patrick Jochem, 2020. "Provision of Demand Response from the prosumers in multiple markets," Working Papers hal-03167446, HAL.
  • Handle: RePEc:hal:wpaper:hal-03167446
    Note: View the original document on HAL open archive server: https://hal.science/hal-03167446
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    References listed on IDEAS

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    1. Rious, Vincent & Perez, Yannick & Roques, Fabien, 2015. "Which electricity market design to encourage the development of demand response?," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 128-138.
    2. Anna Alberini, Olha Khymych, and Milan `casný, 2019. "Response to Extreme Energy Price Changes: Evidence from Ukraine," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    3. Iria, José & Soares, Filipe & Matos, Manuel, 2019. "Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets," Applied Energy, Elsevier, vol. 238(C), pages 1361-1372.
    4. Richter, Laura-Lucia & Pollitt, Michael G., 2018. "Which smart electricity service contracts will consumers accept? The demand for compensation in a platform market," Energy Economics, Elsevier, vol. 72(C), pages 436-450.
    5. Feuerriegel, Stefan & Bodenbenner, Philipp & Neumann, Dirk, 2016. "Value and granularity of ICT and smart meter data in demand response systems," Energy Economics, Elsevier, vol. 54(C), pages 1-10.
    6. Olivier Rebenaque, 2020. "An economic assessment of the residential PV self-consumption support under different network tariffs," Working Papers hal-02511136, HAL.
    7. Feuerriegel, Stefan & Neumann, Dirk, 2014. "Measuring the financial impact of demand response for electricity retailers," Energy Policy, Elsevier, vol. 65(C), pages 359-368.
    8. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
    9. Simshauser, Paul, 2016. "Distribution network prices and solar PV: Resolving rate instability and wealth transfers through demand tariffs," Energy Economics, Elsevier, vol. 54(C), pages 108-122.
    10. Orans, Ren & Woo, C.K. & Horii, Brian & Chait, Michele & DeBenedictis, Andrew, 2010. "Electricity Pricing for Conservation and Load Shifting," The Electricity Journal, Elsevier, vol. 23(3), pages 7-14, April.
    11. Olivier Rebenaque, 2020. "An economic assessment of the residential PV self-consumption support under different network tariffs," Working Papers 2001, Chaire Economie du climat.
    12. Nizami, M.S.H. & Hossain, M.J. & Amin, B.M. Ruhul & Fernandez, Edstan, 2020. "A residential energy management system with bi-level optimization-based bidding strategy for day-ahead bi-directional electricity trading," Applied Energy, Elsevier, vol. 261(C).
    13. Steve A. Fenrick, Lullit Getachew, Chris Ivanov, and Jeff Smith, 2014. "Demand Impact of a Critical Peak Pricing Program: Opt-in and Opt-out Options, Green Attitudes and Other Customer Characteristics," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
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    More about this item

    Keywords

    Prosumers; Energy storage; Subsidies; Demand response markets;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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