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The impact of turbulent renewable energy production on power grid stability and quality

Author

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  • Katrin Schmietendorf

    (ForWind and Institute of Physics, Carl von Ossietzky Universität Oldenburg)

  • Joachim Peinke

    (ForWind and Institute of Physics, Carl von Ossietzky Universität Oldenburg)

  • Oliver Kamps

    (Center for Nonlinear Science and Institute for Theoretical Physics, Westfälische Wilhelms-Universität Münster)

Abstract

Feed-in fluctuations induced by renewables are one of the key challenges to the stability and quality of electrical power grids. In particular short-term fluctuations disturb the system on a time scale, on which load balancing does not operate yet and the system is intrinsically governed by self-organized synchronization. Wind and solar power are known to be strongly non-Gaussian with intermittent increment statistics in these time scales. We investigate the impact of short-term wind fluctuations on the basis of a Kuramoto-like power grid model considering stability in terms of desynchronization and frequency and voltage quality aspects. We present a procedure to generate realistic feed-in fluctuations with temporal correlations, Kolmogorov power spectrum and intermittent increments. By comparison to correlated Gaussian noise of the same spectrum and Gaussian white noise, we found out that while the correlations are essential to capture the likelihood of severe outages, the intermittent nature of wind power has significant consequences on power quality: intermittency is directly transferred into frequency and voltage fluctuations yielding a novel type of fluctuations, which is beyond engineering status of knowledge.

Suggested Citation

  • Katrin Schmietendorf & Joachim Peinke & Oliver Kamps, 2017. "The impact of turbulent renewable energy production on power grid stability and quality," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(11), pages 1-6, November.
    • Handle: RePEc:spr:eurphb:v:90:y:2017:i:11:d:10.1140_epjb_e2017-80352-8
    DOI: 10.1140/epjb/e2017-80352-8
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    Citations

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    Cited by:

    1. Pampa Sinha & Kaushik Paul & Sanchari Deb & Sulabh Sachan, 2023. "Comprehensive Review Based on the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid," Energies, MDPI, vol. 16(6), pages 1-39, March.
    2. Aste, Niccolò & Caputo, Paola & Del Pero, Claudio & Ferla, Giulio & Huerto-Cardenas, Harold Enrique & Leonforte, Fabrizio & Miglioli, Alessandro, 2020. "A renewable energy scenario for a new low carbon settlement in northern Italy: Biomass district heating coupled with heat pump and solar photovoltaic system," Energy, Elsevier, vol. 206(C).
    3. Sebastian Bottler & Christian Weindl, 2023. "State-Space Load Flow Calculation of an Energy System with Sector-Coupling Technologies," Energies, MDPI, vol. 16(12), pages 1-22, June.
    4. Janko, Samantha A. & Johnson, Nathan G., 2018. "Scalable multi-agent microgrid negotiations for a transactive energy market," Applied Energy, Elsevier, vol. 229(C), pages 715-727.
    5. Chiyori T. Urabe & Tetsuo Saitou & Kazuto Kataoka & Takashi Ikegami & Kazuhiko Ogimoto, 2021. "Positive Correlations between Short-Term and Average Long-Term Fluctuations in Wind Power Output," Energies, MDPI, vol. 14(7), pages 1-15, March.
    6. Johannes (Joost) Platje & Markus Will & Monika Paradowska & Ynte K. van Dam, 2022. "Socioeconomic Paradigms and the Perception of System Risks: A Study of Attitudes towards Nuclear Power among Polish Business Students," Energies, MDPI, vol. 15(19), pages 1-15, October.

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    Keywords

    Statistical and Nonlinear Physics;

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