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Embedded Implementation of an Algorithm for Online Inertia Estimation in Power Grids

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Advances in System-Integrated Intelligence (SYSINT 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 546))

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Abstract

The energy transition is an issue of major importance worldwide and entails the gradual replacement of fossil fuels technologies with renewable energy sources (RES) for electric power production. However, integrating photovoltaic and wind power plants in traditional power grids threatens the stability of the system if no additional synthetic inertia is provided by control systems. Due to the intermittent nature of RES, the inertia of the power plants and of the entire grid is time-varying, calling the need for online monitoring methods. In this paper, we implement on a microcontroller an algorithm for online estimation of the inertia constant and damping coefficient of individual energy sources. The behavior of this embedded implementation is analyzed with respect to some key parameters and tested on the IEEE 14-bus power system.

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Notes

  1. 1.

    A different update time, greater than \(\Delta t\), could also be used.

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Author information

Authors and Affiliations

  1. DITEN, University of Genoa, Via Opera Pia 11a, Genoa, 16145, Italy

    Alessandro Ravera, Valentina Baruzzi, Matteo Lodi, Alberto Oliveri & Marco Storace

Authors
  1. Alessandro Ravera
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  2. Valentina Baruzzi
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  3. Matteo Lodi
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  4. Alberto Oliveri
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  5. Marco Storace
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Corresponding author

Correspondence to Alberto Oliveri .

Editor information

Editors and Affiliations

  1. Department of Electrical, Electronic and Telecommunication Engineering and Naval Architecture (DITEN), University of Genova, Genoa, Italy

    Maurizio Valle

  2. Fraunhofer Institute for Manufacturing Technology and Advanced Materials, Bremen, Germany

    Dirk Lehmhus

  3. Department of Electrical, Electronic and Telecommunication Engineering and Naval Architecture (DITEN), University of Genova, Genoa, Italy

    Christian Gianoglio

  4. Department of Electrical, Electronic and Telecommunication Engineering and Naval Architecture (DITEN), University of Genova, Genoa, Italy

    Edoardo Ragusa

  5. Department of Electrical, Electronic and Telecommunication Engineering and Naval Architecture (DITEN), University of Genova, Genoa, Italy

    Lucia Seminara

  6. Computer Science and Mathematics, University of Bremen, Bremen, Germany

    Stefan Bosse

  7. Department of Electrical and Electronics Engineering (EEE), Lebanese International University (LIU), Beirut, Lebanon

    Ali Ibrahim

  8. BIBA, University of Bremen, Bremen, Germany

    Klaus-Dieter Thoben

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Ravera, A., Baruzzi, V., Lodi, M., Oliveri, A., Storace, M. (2023). Embedded Implementation of an Algorithm for Online Inertia Estimation in Power Grids. In: Valle, M., et al. Advances in System-Integrated Intelligence. SYSINT 2022. Lecture Notes in Networks and Systems, vol 546. Springer, Cham. https://doi.org/10.1007/978-3-031-16281-7_9

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  • DOI: https://doi.org/10.1007/978-3-031-16281-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16280-0

  • Online ISBN: 978-3-031-16281-7

  • eBook Packages: EngineeringEngineering (R0)

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