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Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response

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  • Felix Röben

    (CC4E-Competence Center für Erneuerbare Energien und EnergieEffizienz, Hamburg University of Applied Sciences, HAW Hamburg, Am Schleusengraben 24, 21029 Hamburg, Germany
    Power Electronics for Renewable Energy Systems, Fraunhofer Institute for Silicon Technology, Steindamm 94, 20099 Hamburg, Germany
    Energieberatung Hamburg, Hamburger Str. 11, 22083 Hamburg, Germany)

  • Hans Schäfers

    (CC4E-Competence Center für Erneuerbare Energien und EnergieEffizienz, Hamburg University of Applied Sciences, HAW Hamburg, Am Schleusengraben 24, 21029 Hamburg, Germany)

  • Anna Meißner

    (Power Electronics for Renewable Energy Systems, Fraunhofer Institute for Silicon Technology, Steindamm 94, 20099 Hamburg, Germany)

  • Jerom de Haan

    (TenneT TSO, Bernecker Straße 70, 95448 Bayreuth, Germany)

Abstract

Recent EU legislation enforces the integration of European balancing markets, with harmonized products and international platforms for the procurement and activation of reserves; nonetheless, different power balancing strategies remain. The Netherlands and Belgium encourage market participants to support balancing the control block by publishing real-time information. This article refers to such concepts as smart balancing, and a market simulation tool was developed to assess the relevant market parameters for effective smart balancing. This shall contribute to the true integration of real-time balancing energy markets. The scope of the assessment of relevant market parameters was Germany, and the results showed that a pricing scheme had less impact on the results, as currently is understood by European TSOs and regulators. Moreover, the accuracy and frequency of real-time publication indicate the effectiveness of smart balancing and the associated reduction of the activation of balancing energy and associated costs. Consequently, this article proposed a road map for Germany to introduce an adapted smart balancing approach, starting with a simple traffic light.

Suggested Citation

  • Felix Röben & Hans Schäfers & Anna Meißner & Jerom de Haan, 2021. "Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response," Energies, MDPI, vol. 14(8), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2309-:d:539230
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    References listed on IDEAS

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    1. Ocker, Fabian & Ehrhart, Karl-Martin & Belica, Matej, 2018. "Harmonization of the European balancing power auction: A game-theoretical and empirical investigation," Energy Economics, Elsevier, vol. 73(C), pages 194-211.
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    5. Eicke, Anselm & Ruhnau, Oliver & Hirth, Lion, 2020. "Electricity balancing as a market equilibrium: Estimating supply and demand of imbalance energy," EconStor Preprints 223062, ZBW - Leibniz Information Centre for Economics.
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