Neuro-fuzzy based power system stabilizer of a multi-machine system

This thesis presents a study of neuro-fuzzy power system stabilizer (PSS) for stability enhancement of a multi-machine power system. In order to accomplish a stability enhancement, speed deviation (??) and acceleration (? ) of the rotor synchronous generator were taken as the input to the neuro-fuzz...

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Main Author: Md. Hasnan, Syamzurina
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/19141/1/SyamzurinaMd.HasnanMFKE2009.pdf
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id my-utm-ep.19141
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spelling my-utm-ep.191412017-10-01T03:22:26Z Neuro-fuzzy based power system stabilizer of a multi-machine system 2009-11 Md. Hasnan, Syamzurina TK Electrical engineering. Electronics Nuclear engineering This thesis presents a study of neuro-fuzzy power system stabilizer (PSS) for stability enhancement of a multi-machine power system. In order to accomplish a stability enhancement, speed deviation (??) and acceleration (? ) of the rotor synchronous generator were taken as the input to the neuro-fuzzy controller. These variables take significant effects on damping the generator shaft mechanical oscillations. The stabilizing signals were computed using the neuro-fuzzy membership function depending on these variables. Simulink Block Design and Matlab 7.6 were utilized in implementing the study. The simulations were tested under different types of conditions; the steady state operation, the three phases to ground fault, with load connected to the system, mechanical input power changes and reference voltage (Vref) step changes. The performance of the neuro-fuzzy power system stabilizer was compared with the conventional power system stabilizer and without power system stabilizer 2009-11 Thesis http://eprints.utm.my/id/eprint/19141/ http://eprints.utm.my/id/eprint/19141/1/SyamzurinaMd.HasnanMFKE2009.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:82633?queryType=vitalDismax&query=+Neuro-fuzzy+based+power+system+stabilizer+of+a+multi-machine+system+&public=true 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
Md. Hasnan, Syamzurina
Neuro-fuzzy based power system stabilizer of a multi-machine system
description This thesis presents a study of neuro-fuzzy power system stabilizer (PSS) for stability enhancement of a multi-machine power system. In order to accomplish a stability enhancement, speed deviation (??) and acceleration (? ) of the rotor synchronous generator were taken as the input to the neuro-fuzzy controller. These variables take significant effects on damping the generator shaft mechanical oscillations. The stabilizing signals were computed using the neuro-fuzzy membership function depending on these variables. Simulink Block Design and Matlab 7.6 were utilized in implementing the study. The simulations were tested under different types of conditions; the steady state operation, the three phases to ground fault, with load connected to the system, mechanical input power changes and reference voltage (Vref) step changes. The performance of the neuro-fuzzy power system stabilizer was compared with the conventional power system stabilizer and without power system stabilizer
format Thesis
qualification_level Master's degree
author Md. Hasnan, Syamzurina
author_facet Md. Hasnan, Syamzurina
author_sort Md. Hasnan, Syamzurina
title Neuro-fuzzy based power system stabilizer of a multi-machine system
title_short Neuro-fuzzy based power system stabilizer of a multi-machine system
title_full Neuro-fuzzy based power system stabilizer of a multi-machine system
title_fullStr Neuro-fuzzy based power system stabilizer of a multi-machine system
title_full_unstemmed Neuro-fuzzy based power system stabilizer of a multi-machine system
title_sort neuro-fuzzy based power system stabilizer of a multi-machine system
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2009
url http://eprints.utm.my/id/eprint/19141/1/SyamzurinaMd.HasnanMFKE2009.pdf
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