Design of switching damping controllers for power systems based on a Markov jump parameter system approach

Ramos, RA; Li, L; Ugrinovskii, VA; Pota, HR

Design of switching damping controllers for power systems based on a Markov jump parameter system approach

Ramos, RA Li, L

Ugrinovskii, VA Pota, HR

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE Conference on Decision and Control, 2006, pp. 4014 - 4019
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Ramos, RA	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Ugrinovskii, VA	en_US
dc.contributor.author	Pota, HR	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings of the IEEE Conference on Decision and Control, 2006, pp. 4014 - 4019	en_US
dc.identifier.isbn	1424401712	en_US
dc.identifier.isbn	9781424401710	en_US
dc.identifier.issn	0191-2216	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17578
dc.description.abstract	The application of a new technique, based on the theory of Markov Jump Parameter Systems (MJPS), to the problem of designing controllers to damp power system oscillations is presented in this paper. This problem is very difficult to address, mainly because these controllers are required to have an output feedback decentralized structure. The technique relies on the statistical knowledge about the system operating conditions to provide less conservative controllers than other modern robust control approaches. The influence of the system interconnections over its modes of oscillation is reduced by means of a proper control design formulation involving Integral Quadratic Constraints. The discrete nature of some typical events in power systems (such as line tripping or load switching) is adequately modeled by the MJPS approach, therefore allowing the controller to withstand such abrupt changes in the operating conditions of the system, as shown in the results. © 2006 IEEE.	en_US
dc.relation.ispartof	Proceedings of the IEEE Conference on Decision and Control	en_US
dc.title	Design of switching damping controllers for power systems based on a Markov jump parameter system approach	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	San Diego, USA	en_US
dc.location.activity	Nanjing, China
pubs.embargo.period	Not known	en_US
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
pubs.publication-status	Published	en_US

Abstract:

The application of a new technique, based on the theory of Markov Jump Parameter Systems (MJPS), to the problem of designing controllers to damp power system oscillations is presented in this paper. This problem is very difficult to address, mainly because these controllers are required to have an output feedback decentralized structure. The technique relies on the statistical knowledge about the system operating conditions to provide less conservative controllers than other modern robust control approaches. The influence of the system interconnections over its modes of oscillation is reduced by means of a proper control design formulation involving Integral Quadratic Constraints. The discrete nature of some typical events in power systems (such as line tripping or load switching) is adequately modeled by the MJPS approach, therefore allowing the controller to withstand such abrupt changes in the operating conditions of the system, as shown in the results. © 2006 IEEE.

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