Recurrent neuro fuzzi controller power system stabilizer

Power system stabilizers (PSS) have been widely used to damp low frequency electromechanical oscillations which occur in power systems due to disturbances. If no adequate damping is available, the oscillation can increase and cause system separation. Power system stabilizers (PSS) are installed in p...

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Main Author:	Shalluf, Mosbah Ramadan A.
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/6120/1/MosbahRamadanAShallufMFKE2007.pdf
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id	my-utm-ep.6120
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spelling	my-utm-ep.61202018-08-26T04:43:17Z Recurrent neuro fuzzi controller power system stabilizer 2007-05 Shalluf, Mosbah Ramadan A. TK Electrical engineering. Electronics Nuclear engineering Power system stabilizers (PSS) have been widely used to damp low frequency electromechanical oscillations which occur in power systems due to disturbances. If no adequate damping is available, the oscillation can increase and cause system separation. Power system stabilizers (PSS) are installed in power system generator to help the damping of power system oscillations. There are many approaches to enhance damping while extending the power stability limit. To improve power system stabilizer (PSS) design problem include optimal control ,adaptive and self-tuning control, PID control, robust control, variable structure control and intelligent control. In this paper the power stabilizer is based on Recurrent Neuro-fuzzy Inference System (RNFIS) design controller. In order to test the robustness of the proposed design procedure of the (RNFIS), simulations will be carried out for the three-phase to ground fault and 1- phase fault at the middle of one of the transmission line. After these simulations, we will compare the result between a lead-lag and recurrent neuro-fuzzy controllers to see their difference in disturbances. The optimal solutions will be compared where the expected result will show that the oscillations in time response of the machine speed and the rotor angle is damped more effectively when the recurrent neuro-fuzzy controller and applied to the system. 2007-05 Thesis http://eprints.utm.my/id/eprint/6120/ http://eprints.utm.my/id/eprint/6120/1/MosbahRamadanAShallufMFKE2007.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62019 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Shalluf, Mosbah Ramadan A. Recurrent neuro fuzzi controller power system stabilizer
description	Power system stabilizers (PSS) have been widely used to damp low frequency electromechanical oscillations which occur in power systems due to disturbances. If no adequate damping is available, the oscillation can increase and cause system separation. Power system stabilizers (PSS) are installed in power system generator to help the damping of power system oscillations. There are many approaches to enhance damping while extending the power stability limit. To improve power system stabilizer (PSS) design problem include optimal control ,adaptive and self-tuning control, PID control, robust control, variable structure control and intelligent control. In this paper the power stabilizer is based on Recurrent Neuro-fuzzy Inference System (RNFIS) design controller. In order to test the robustness of the proposed design procedure of the (RNFIS), simulations will be carried out for the three-phase to ground fault and 1- phase fault at the middle of one of the transmission line. After these simulations, we will compare the result between a lead-lag and recurrent neuro-fuzzy controllers to see their difference in disturbances. The optimal solutions will be compared where the expected result will show that the oscillations in time response of the machine speed and the rotor angle is damped more effectively when the recurrent neuro-fuzzy controller and applied to the system.
format	Thesis
qualification_level	Master's degree
author	Shalluf, Mosbah Ramadan A.
author_facet	Shalluf, Mosbah Ramadan A.
author_sort	Shalluf, Mosbah Ramadan A.
title	Recurrent neuro fuzzi controller power system stabilizer
title_short	Recurrent neuro fuzzi controller power system stabilizer
title_full	Recurrent neuro fuzzi controller power system stabilizer
title_fullStr	Recurrent neuro fuzzi controller power system stabilizer
title_full_unstemmed	Recurrent neuro fuzzi controller power system stabilizer
title_sort	recurrent neuro fuzzi controller power system stabilizer
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/6120/1/MosbahRamadanAShallufMFKE2007.pdf
_version_	1747814630631145472

Recurrent neuro fuzzi controller power system stabilizer

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