Output Feedback Adaptive Control for Inter-area Oscillation Damping under Power System Uncertainties

Nayak, A; Mishra, S; Hossain, J; Nizami, MSH

Output Feedback Adaptive Control for Inter-area Oscillation Damping under Power System Uncertainties

Nayak, A Mishra, S Hossain, J

Nizami, MSH

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Publisher:: IEEE
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	Nayak, A
dc.contributor.author	Mishra, S
dc.contributor.author	Hossain, J https://orcid.org/0000-0001-7602-3581
dc.contributor.author	Nizami, MSH
dc.date	2019-06-11
dc.date.accessioned	2020-06-20T04:25:44Z
dc.date.available	2020-06-20T04:25:44Z
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/10453/141582
dc.description.abstract	© 2019 IEEE. The power system is inherently a complex nonlinear system and experiences continuous changes in operating conditions due to sudden variations in load demand. The increasing integration of renewable power sources in current grids brings new dynamics and increases complexity in developing reliable control strategies. In addition, the variability of renewable generation introduce uncertainty and therefore, an advanced controller is required to ensure the systems stability. The wide area measurement systems (WAMS) has made the remote signal much readily available, thus improving the overall systems observability. With considering the changing systems dynamics, an output feedback model reference adaptive damping controller is designed and implemented in this paper. The results show the controllers effectiveness to handle the parametric and nonparametric uncertainties of the system while obtaining satisfactory damping action on inter-area oscillations.
dc.language	en
dc.publisher	IEEE
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.ispartof	2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
dc.relation.isbasedon	10.1109/EEEIC.2019.8783847
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Output Feedback Adaptive Control for Inter-area Oscillation Damping under Power System Uncertainties
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering
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	2020-06-20T04:25:40Z
pubs.finish-date	2019-06-14
pubs.publication-status	Published
pubs.start-date	2019-06-11

Abstract:

© 2019 IEEE. The power system is inherently a complex nonlinear system and experiences continuous changes in operating conditions due to sudden variations in load demand. The increasing integration of renewable power sources in current grids brings new dynamics and increases complexity in developing reliable control strategies. In addition, the variability of renewable generation introduce uncertainty and therefore, an advanced controller is required to ensure the systems stability. The wide area measurement systems (WAMS) has made the remote signal much readily available, thus improving the overall systems observability. With considering the changing systems dynamics, an output feedback model reference adaptive damping controller is designed and implemented in this paper. The results show the controllers effectiveness to handle the parametric and nonparametric uncertainties of the system while obtaining satisfactory damping action on inter-area oscillations.

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http://hdl.handle.net/10453/141582