Teager-Huang based Fault Detection in Inverter-interfaced AC Microgrid

Sahoo, A; Arunan, A; Mahmud, K; Ravishankar, J; Nizami, MSH; Hossain, MJ

Teager-Huang based Fault Detection in Inverter-interfaced AC Microgrid

Sahoo, A Arunan, A Mahmud, K Ravishankar, J Nizami, MSH Hossain, MJ

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, 2019
Issue Date:: 2019-06-01

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Field	Value	Language
dc.contributor.author	Sahoo, A
dc.contributor.author	Arunan, A
dc.contributor.author	Mahmud, K
dc.contributor.author	Ravishankar, J
dc.contributor.author	Nizami, MSH
dc.contributor.author	Hossain, MJ
dc.date.accessioned	2020-06-11T08:04:45Z
dc.date.available	2020-06-11T08:04:45Z
dc.date.issued	2019-06-01
dc.identifier.citation	Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, 2019
dc.identifier.isbn	9781728106526
dc.identifier.uri	http://hdl.handle.net/10453/141366
dc.description.abstract	© 2019 IEEE. The limited fault current tolerance of inverters in AC Microgrids demands the necessity of faster and accurate fault detections. At the point of common coupling, the occurrence of various symmetrical and unsymmetrical faults degrades the performance and robustness of the inverter-interfaced local controllers. To achieve faster fault detection in inverter-based AC microgrid, this paper proposes a combined technique that includes two well-known signal processing techniques such as teager energy operator and Hilbert-Huang transform. The combined principle is called a Teager-Huang technique, which can detect different line faults using the teager energy of the Hilbert-Huang based empirical mode decomposed signals. The fault detection technique is verified by creating faults at the inverter connection point to the grid, using MATLAB/SIMULINK and PLECS.
dc.language	en
dc.relation.ispartof	Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
dc.relation.isbasedon	10.1109/EEEIC.2019.8783453
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Teager-Huang based Fault Detection in Inverter-interfaced AC Microgrid
dc.type	Conference Proceeding
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-06-11T08:04:43Z
pubs.publication-status	Published

Abstract:

© 2019 IEEE. The limited fault current tolerance of inverters in AC Microgrids demands the necessity of faster and accurate fault detections. At the point of common coupling, the occurrence of various symmetrical and unsymmetrical faults degrades the performance and robustness of the inverter-interfaced local controllers. To achieve faster fault detection in inverter-based AC microgrid, this paper proposes a combined technique that includes two well-known signal processing techniques such as teager energy operator and Hilbert-Huang transform. The combined principle is called a Teager-Huang technique, which can detect different line faults using the teager energy of the Hilbert-Huang based empirical mode decomposed signals. The fault detection technique is verified by creating faults at the inverter connection point to the grid, using MATLAB/SIMULINK and PLECS.

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http://hdl.handle.net/10453/141366