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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2009
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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 |
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Universiti Teknologi Malaysia |
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English |
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TK Electrical engineering Electronics Nuclear engineering |
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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 |
_version_ |
1747815391411830784 |