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  5. State Residualisation and Kron Reduction for Model Order Reduction of Energy Systems
 
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State Residualisation and Kron Reduction for Model Order Reduction of Energy Systems

Author(s)
Zhao, Xianxian  
Kestelyn, Xavier  
Cossart, Quentin  
Colas, Frédéric  
Flynn, Damian  
Uri
http://hdl.handle.net/10197/26564
Date Issued
2023-05-29
Date Available
2024-08-14T11:38:41Z
Abstract
Greater numbers of power electronics (PEs) converters are being connected to energy systems due to the development of renewable energy sources, high-voltage transmission, and PE-interfaced loads. Given that power electronics-based devices and synchronous machines have very different dynamic behaviours, some modelling approximations, which may commonly be applied to run transient simulations of transmission systems, may not be optimal for future grids. Indeed, the systematic utilisation of the phasor approximation for power lines, implemented in most transient simulation programs, is increasingly not appropriate anymore. In order to avoid the requirement for full electromagnetic transient simulations, which can be resource-demanding and time-consuming, this paper proposes a combination of an event-based state residualisation approximation and the Kron reduction technique. The proposed technique has the advantage of allowing accurate transient simulations based on the optimal reduction of the number of state variables, depending on the observed variables, the considered events, and the tolerated approximation error, along with simplifying power systems equations for accelerated simulations.
Sponsorship
Irish Research Council
Type of Material
Journal Article
Publisher
MDPI
Journal
Applied Sciences
Volume
13
Issue
11
Copyright (Published Version)
2023 the Authors
Subjects

Electromagnetic trans...

Phasor approximation

Model order reduction...

Power system simulati...

Grid-forming converte...

Small-signal stabilit...

DOI
10.3390/app13116593
Language
English
Status of Item
Peer reviewed
ISSN
2076-3417
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
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applsci-2399683_submit.pdf

Size

2 MB

Format

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Checksum (MD5)

cc1e3a0f49c7ab756ffa70c6c487c3be

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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