Application of an online controller for statcom to mitigate the SSR oscillations

Abbasi, M; Khazaee, S; Tousi, B

Application of an online controller for statcom to mitigate the SSR oscillations

Abbasi, M

Khazaee, S Tousi, B

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Publisher:: Journal of Engineering Science and Technology
Publication Type:: Journal Article
Citation:: Journal of Engineering Science and Technology, 2018, 13, pp. 2945-2963
Issue Date:: 2018

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Field	Value	Language
dc.contributor.author	Abbasi, M https://orcid.org/0000-0003-3339-1258
dc.contributor.author	Khazaee, S
dc.contributor.author	Tousi, B
dc.date.accessioned	2021-03-31T21:03:30Z
dc.date.available	2021-03-31T21:03:30Z
dc.date.issued	2018
dc.identifier.citation	Journal of Engineering Science and Technology, 2018, 13, pp. 2945-2963
dc.identifier.uri	http://hdl.handle.net/10453/147754
dc.description.abstract	This paper presents an on-line controller for a Static Synchronous Shunt Compensator (STATCOM) to damp subsynchronous frequency oscillations. Series capacitors in transmission lines can increase stability margin and power transfer capability but also result in shaft failure or fatigue in a thermal production unit. Flexible AC Transmission System (FACTS) devices are widely employed to control several features of the power system. Recent surveys demonstrated that FACTS devices, equipped with well-designed controllers, can be effective in damping Subsynchronous Resonance (SSR) oscillations. To achieve this goal, PI controllers are mostly used that are simple controllers. However, they need exact and accurate information about the power system, which is hard to get. Therefore, they lose their desired performance by changing the operating conditions. The proposed on-line controller is based on an identifier and a pole-shifting controller. This controller estimates system parameters on-line and shifts the location of system poles radially with a factor (α) to guarantee the system stability. The considered structure for the system is Autoregressive Moving Average Exogenous (ARMAX) model and the used identifier is Recursive Least Squares (RLS) method. Simulations have been performed by MATLAB/SIMULINK. The eigenvalue analysis has been obtained to study the SSR characteristics of the power system and the studied system is IEEE first benchmark model on SSR.
dc.language	en
dc.publisher	Journal of Engineering Science and Technology
dc.relation.ispartof	Journal of Engineering Science and Technology
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Application of an online controller for statcom to mitigate the SSR oscillations
dc.type	Journal Article
utslib.citation.volume	13
utslib.location.activity	Iran
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	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-03-31T21:03:27Z
pubs.publication-status	Published
pubs.volume	13

Abstract:

This paper presents an on-line controller for a Static Synchronous Shunt Compensator (STATCOM) to damp subsynchronous frequency oscillations. Series capacitors in transmission lines can increase stability margin and power transfer capability but also result in shaft failure or fatigue in a thermal production unit. Flexible AC Transmission System (FACTS) devices are widely employed to control several features of the power system. Recent surveys demonstrated that FACTS devices, equipped with well-designed controllers, can be effective in damping Subsynchronous Resonance (SSR) oscillations. To achieve this goal, PI controllers are mostly used that are simple controllers. However, they need exact and accurate information about the power system, which is hard to get. Therefore, they lose their desired performance by changing the operating conditions. The proposed on-line controller is based on an identifier and a pole-shifting controller. This controller estimates system parameters on-line and shifts the location of system poles radially with a factor (α) to guarantee the system stability. The considered structure for the system is Autoregressive Moving Average Exogenous (ARMAX) model and the used identifier is Recursive Least Squares (RLS) method. Simulations have been performed by MATLAB/SIMULINK. The eigenvalue analysis has been obtained to study the SSR characteristics of the power system and the studied system is IEEE first benchmark model on SSR.

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http://hdl.handle.net/10453/147754