A novel fault location strategy based on Bi-LSTM for MMC-HVDC systems

Inwumoh, J; Baguley, C; Madawala, U; Gunawardane, K

A novel fault location strategy based on Bi-LSTM for MMC-HVDC systems

Inwumoh, J Baguley, C Madawala, U Gunawardane, K

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: JOURNAL OF ENGINEERING-JOE, 2023, 2023, (10)
Issue Date:: 2023-10

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Field	Value	Language
dc.contributor.author	Inwumoh, J
dc.contributor.author	Baguley, C
dc.contributor.author	Madawala, U
dc.contributor.author	Gunawardane, K https://orcid.org/0000-0001-5254-0162
dc.date.accessioned	2025-05-13T00:10:16Z
dc.date.available	2025-05-13T00:10:16Z
dc.date.issued	2023-10
dc.identifier.citation	JOURNAL OF ENGINEERING-JOE, 2023, 2023, (10)
dc.identifier.issn	2314-4904
dc.identifier.issn	2051-3305
dc.identifier.uri	http://hdl.handle.net/10453/187329
dc.description.abstract	<jats:title>Abstract</jats:title><jats:p>The integration of modular multilevel converters (MMCs) with high voltage direct current (HVDC) transmission systems is an efficient method for transporting electricity from distant renewable energy sources to demand centres. However, MMC‐HVDC systems face reliability challenges during DC overcurrent faults, often caused by component failures that can lead to HVDC network shutdowns. Consequently, a reliable fault location approach is crucial for grid protection and restoration, aiding in fault isolation and alternate power flow identification. Conventional fault location methods struggle with manual protective threshold setting, susceptibility to fault resistance and noise, and the need for communication channels, resulting in signal delays. In multi‐terminal HVDC networks, fault location becomes even more complex due to poor selectivity and sensitivity in traditional schemes. This study proposes a robust fault location approach based on bidirectional long short‐term memory (bi‐LSTM). The method offers a simplified decision‐making model with low computational requirements, utilizing fault features from one end of the network, eliminating the need for a communication channel. Remarkably, this approach achieves high fault location accuracy, even with varying fault types, resistances, and noise levels, as demonstrated by an MSE of 0.006 and a percentage error below 1% in simulations conducted using a real‐time simulator with MATLAB/Simulink.</jats:p>
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	JOURNAL OF ENGINEERING-JOE
dc.relation.isbasedon	10.1049/tje2.12310
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	40 Engineering
dc.title	A novel fault location strategy based on Bi-LSTM for MMC-HVDC systems
dc.type	Journal Article
utslib.citation.volume	2023
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated	2025-05-13T00:10:14Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	2023
utslib.citation.issue	10

Abstract:

AbstractThe integration of modular multilevel converters (MMCs) with high voltage direct current (HVDC) transmission systems is an efficient method for transporting electricity from distant renewable energy sources to demand centres. However, MMC‐HVDC systems face reliability challenges during DC overcurrent faults, often caused by component failures that can lead to HVDC network shutdowns. Consequently, a reliable fault location approach is crucial for grid protection and restoration, aiding in fault isolation and alternate power flow identification. Conventional fault location methods struggle with manual protective threshold setting, susceptibility to fault resistance and noise, and the need for communication channels, resulting in signal delays. In multi‐terminal HVDC networks, fault location becomes even more complex due to poor selectivity and sensitivity in traditional schemes. This study proposes a robust fault location approach based on bidirectional long short‐term memory (bi‐LSTM). The method offers a simplified decision‐making model with low computational requirements, utilizing fault features from one end of the network, eliminating the need for a communication channel. Remarkably, this approach achieves high fault location accuracy, even with varying fault types, resistances, and noise levels, as demonstrated by an MSE of 0.006 and a percentage error below 1% in simulations conducted using a real‐time simulator with MATLAB/Simulink.

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http://hdl.handle.net/10453/187329