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Article

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

1
CC4E-Competence Center für Erneuerbare Energien und EnergieEffizienz, Hamburg University of Applied Sciences, HAW Hamburg, Am Schleusengraben 24, 21029 Hamburg, Germany
2
Power Electronics for Renewable Energy Systems, Fraunhofer Institute for Silicon Technology, Steindamm 94, 20099 Hamburg, Germany
3
Energieberatung Hamburg, Hamburger Str. 11, 22083 Hamburg, Germany
4
TenneT TSO, Bernecker Straße 70, 95448 Bayreuth, Germany
*
Author to whom correspondence should be addressed.
Energies 2021, 14(8), 2309; https://doi.org/10.3390/en14082309
Submission received: 15 February 2021 / Revised: 26 March 2021 / Accepted: 8 April 2021 / Published: 19 April 2021

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.
Keywords: energy market design; smart balancing; passive balancing energy market design; smart balancing; passive balancing

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MDPI and ACS Style

Röben, F.; Schäfers, H.; Meißner, A.; de Haan, J. Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response. Energies 2021, 14, 2309. https://doi.org/10.3390/en14082309

AMA Style

Röben F, Schäfers H, Meißner A, de Haan J. Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response. Energies. 2021; 14(8):2309. https://doi.org/10.3390/en14082309

Chicago/Turabian Style

Röben, Felix, Hans Schäfers, Anna Meißner, and Jerom de Haan. 2021. "Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response" Energies 14, no. 8: 2309. https://doi.org/10.3390/en14082309

APA Style

Röben, F., Schäfers, H., Meißner, A., & de Haan, J. (2021). Smart Balancing of Electrical Power in Germany: Fuzzy Logic Model to Simulate Market Response. Energies, 14(8), 2309. https://doi.org/10.3390/en14082309

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