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iEnergy 2023, 2(3): 231-239 https://doi.org/10.23919/IEN.2023.0022
Article | Open Access | Issue | Published: 30 September 2023

Physics-informed transient stability assessment of microgrids

Show Author's Information Priyanka Mishra,  Peng Zhang( )
Department of Electrical and Computer Engineering, Stony Brook University, NY 11794, USA
Keywords:
microgrid, Physics-informed neural network, Lyapunov function, voltage source converter, transient stability assessment
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Mishra P, Zhang P. Physics-informed transient stability assessment of microgrids. iEnergy, 2023, 2(3): 231-239. https://doi.org/10.23919/IEN.2023.0022
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Abstract Full text About this article

With the integration of a voltage source converter (VSC), having variable internal voltages and source impedance, in a microgrid with high resistance to reactance ratio of short lines, angle-based transient stability techniques may find limitations. Under such a situation, the Lyapunov function can be a viable option for transient stability assessment (TSA) of such a VSC-interfaced microgrid. However, the determination of the Lyapunov function with the classical method is very challenging for a microgrid with converter controller dynamics. To overcome such challenges, this paper develops a physics-informed, Lyapunov function-based TSA framework for VSC-interfaced microgrids. The method uses the physics involved and the initial and boundary conditions of the system in learning the Lyapunov functions. This method is tested and validated under faults, droop-coefficient changes, generator outages, and load shedding on a small grid-connected microgrid and the CIGRE microgrid.


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About this article

Physics-informed transient stability assessment of microgrids

Show Author's information Priyanka Mishra, Peng Zhang( )
Department of Electrical and Computer Engineering, Stony Brook University, NY 11794, USA

Abstract

With the integration of a voltage source converter (VSC), having variable internal voltages and source impedance, in a microgrid with high resistance to reactance ratio of short lines, angle-based transient stability techniques may find limitations. Under such a situation, the Lyapunov function can be a viable option for transient stability assessment (TSA) of such a VSC-interfaced microgrid. However, the determination of the Lyapunov function with the classical method is very challenging for a microgrid with converter controller dynamics. To overcome such challenges, this paper develops a physics-informed, Lyapunov function-based TSA framework for VSC-interfaced microgrids. The method uses the physics involved and the initial and boundary conditions of the system in learning the Lyapunov functions. This method is tested and validated under faults, droop-coefficient changes, generator outages, and load shedding on a small grid-connected microgrid and the CIGRE microgrid.

Keywords: microgrid, Physics-informed neural network, Lyapunov function, voltage source converter, transient stability assessment

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Publication history
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Publication history

Received: 24 July 2023
Revised: 23 August 2023
Accepted: 04 September 2023
Published: 30 September 2023
Issue date: September 2023

Copyright

© The author(s) 2023.

Acknowledgements

This work was partly supported by the National Science Foundation under Grant No. ITE-2134840. This work relates to the Department of Navy award N00014-23-1-2124 issued by the Office of Naval Research. The United States Government has a royalty-free license worldwide for all copyrightable material contained herein.

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This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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