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Defining and Quantifying Intermittency in the Power Sector

Author

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  • Daniel Suchet

    (IPVF, UMR 9006, Ecole Polytechnique, 91120 Palaiseau, France
    LIA NextPV, Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan)

  • Adrien Jeantet

    (Laboratoire Interdisciplinaire des Energies de Demain, University Paris Diderot, Sorbonne Paris Cité, UMR 8236, 75013 Paris, France
    Enercoop, 16–18 Quai de la Loire, 75019 Paris, France)

  • Thomas Elghozi

    (Independent Researcher, Paris 75014, France)

  • Zacharie Jehl

    (LIA NextPV, Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan)

Abstract

The lack of a systematic definition of intermittency in the power sector blurs the use of this term in the public debate: the same power source can be described as stable or intermittent, depending on the standpoint of the authors. This work tackles a quantitative definition of intermittency adapted to the power sector, linked to the nature of the source, and not to the current state of the energy mix or the production predictive capacity. A quantitative indicator is devised, discussed and graphically depicted. A case study is illustrated by the analysis of the 2018 production data in France and then developed further to evaluate the impact of two methods often considered to reduce intermittency: aggregation and complementarity between wind and solar productions.

Suggested Citation

  • Daniel Suchet & Adrien Jeantet & Thomas Elghozi & Zacharie Jehl, 2020. "Defining and Quantifying Intermittency in the Power Sector," Energies, MDPI, vol. 13(13), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3366-:d:378971
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    References listed on IDEAS

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    Cited by:

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    5. Ma, Yixiang & Yu, Lean & Zhang, Guoxing, 2022. "Short-term wind power forecasting with an intermittency-trait-driven methodology," Renewable Energy, Elsevier, vol. 198(C), pages 872-883.

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