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Einführung in Regelungsstrategien

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Energieprognose und Steuerungsmethoden für Energiespeichersysteme in Verteilungsnetzen

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Zusammenfassung

Dieses Kapitel stellt verschiedene Regelungsmethoden vor, von den grundlegenden und gängigen Methoden wie PID-Reglern bis hin zu stochastischen Optimierungsregelungsmethoden.

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Literatur

  • Feras A, Stephen H, William H (2019) Stochastic optimal energy management system for rtg cranes network using genetic algorithm and ensemble forecasts. J Energy Storage 24:100759

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  • Alasali F, Haben S, Foudeh H, Holderbaum W (2020) A comparative study of optimal energy management strategies for energy storage with stochastic loads. Energies 13(10)

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  • Emmerich MTM, Deutz AH (2018) A tutorial on multiobjective optimization: fundamentals and evolutionary methods. Nat Comput 17:585–609

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  • Higham Desmond J, Higham Nicholas J (2017) MATLAB guide, Society for industrial and applied mathematics, 3. Aufl. Philadelphia

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Author information

Authors and Affiliations

  1. School of Science, Engineering and Environment, University of Salford, Salford, UK

    William Holderbaum

  2. Department of Electrical Engineering, Faculty of Engineering, The Hashemite University, Zarqa, Jordan

    Feras Alasali

  3. Department of Information Technology, Indian Institute of Information Technology-Allahabad, Prayagraj, Uttar Pradesh, India

    Ayush Sinha

Authors
  1. William Holderbaum
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  2. Feras Alasali
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  3. Ayush Sinha
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Corresponding author

Correspondence to William Holderbaum .

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© 2023 Der/die Autor(en), exklusiv lizenziert an Springer Nature Switzerland AG

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Holderbaum, W., Alasali, F., Sinha, A. (2023). Einführung in Regelungsstrategien. In: Energieprognose und Steuerungsmethoden für Energiespeichersysteme in Verteilungsnetzen. Springer Vieweg, Cham. https://doi.org/10.1007/978-3-031-45471-4_4

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