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/19141/1/SyamzurinaMd.HasnanMFKE2009.pdf
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author Md. Hasnan, Syamzurina
author_facet Md. Hasnan, Syamzurina
author_sort Md. Hasnan, Syamzurina
collection ePrints
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
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spelling utm.eprints-191412017-10-01T03:22:26Z http://eprints.utm.my/19141/ Neuro-fuzzy based power system stabilizer of a multi-machine system 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 NonPeerReviewed application/pdf en http://eprints.utm.my/19141/1/SyamzurinaMd.HasnanMFKE2009.pdf Md. Hasnan, Syamzurina (2009) Neuro-fuzzy based power system stabilizer of a multi-machine system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. 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
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Md. Hasnan, Syamzurina
Neuro-fuzzy based power system stabilizer of a multi-machine system
title 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_short Neuro-fuzzy based power system stabilizer of a multi-machine system
title_sort neuro fuzzy based power system stabilizer of a multi machine system
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/19141/1/SyamzurinaMd.HasnanMFKE2009.pdf
work_keys_str_mv AT mdhasnansyamzurina neurofuzzybasedpowersystemstabilizerofamultimachinesystem