Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer

Excitation systems are affected by low frequency oscillation (LFO)when they are subjected to small perturbations.Damping during the LFOis enhanced via the addition of power system stabilizer (PSS) to the excitation system.This research entails a study on fuzzy logic controller power system stabilize...

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Main Author:	Hasan, Hayfaa Mohammed Hussein
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/23368/1/Dynamic%20Stability%20Studies%20Of%20Generators%20In%20Power%20System%20Using%20Fuzzy%20Logic%20Controller%20Based%20Power%20System%20Stabilizer.pdf http://eprints.utem.edu.my/id/eprint/23368/2/Dynamic%20Stability%20Studies%20Of%20Generators%20In%20Power%20System%20Using%20Fuzzy%20Logic%20Controller%20Based%20Power%20System%20Stabilizer.pdf
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institution	Universiti Teknikal Malaysia Melaka
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language	English English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Hasan, Hayfaa Mohammed Hussein Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer
description	Excitation systems are affected by low frequency oscillation (LFO)when they are subjected to small perturbations.Damping during the LFOis enhanced via the addition of power system stabilizer (PSS) to the excitation system.This research entails a study on fuzzy logic controller power system stabilizer (FLCPSS) for the purpose of enhancing the stability of a single machine power system.In order to accomplish the stability enhancement,two approaches were used to design fuzzy logic controller (FLC).The first approach includes the use ofgenetic algorithm (GA) to design the PSS.The second approach entails the use of particle swarm optimization (PSO) to design the PSS.The performance of these two approaches is compared with the systemand without PSS.The stabilizing signals were computed using the fuzzy membership functions depending on these variables.The simulations were tested under different operating conditions and also tested with different membership functions.The simulation is implemented using Matlab /Simulink and the results have been found to be quite good and satisfactory.Electro-mechanical oscillations were created in the event of trouble or when there was high power transfer through weak tie-line in the machines of an interrelated power network.This research presents an analysis on the change of speed (Δω), change of angle position (Δδ) and tie-line power flow (Δp).FLC which includes two areas of symmetrical systems are connected via tie-line to identify the performance of the controllers.Simulation results of the fuzzy logic based controller indicate dual inputs of rotor speed deviation and generator’s accelerating power.Two generators have been used to control the arrangement in the tie-line system.The single fuzzy logic controller (S-FLC) has been used as a primary controller and the double fuzzy logic controller(D-FLC) has been used as a secondary controller.Additionally,the system shows a comparison between the two controllers,namely the S-FLC and D-FLC which have been used to achieve the best results.Notably, the double fuzzy controller has been found to have a greater effect on the multi-machine system and it is smoother than the single fuzzy controller as it increased the damping of the speed Δω and rotorangle (degree) Δδ. Its simplicity has made it to be a good controller.In conclusion,much better response can be attained from the S-FLC) if there is careful timing of the scaling factors.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Hasan, Hayfaa Mohammed Hussein
author_facet	Hasan, Hayfaa Mohammed Hussein
author_sort	Hasan, Hayfaa Mohammed Hussein
title	Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer
title_short	Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer
title_full	Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer
title_fullStr	Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer
title_full_unstemmed	Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer
title_sort	dynamic stability studies of generators in power system using fuzzy logic controller based power system stabilizer
granting_institution	UTeM
granting_department	Faculty Of Electrical Engineering
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/23368/1/Dynamic%20Stability%20Studies%20Of%20Generators%20In%20Power%20System%20Using%20Fuzzy%20Logic%20Controller%20Based%20Power%20System%20Stabilizer.pdf http://eprints.utem.edu.my/id/eprint/23368/2/Dynamic%20Stability%20Studies%20Of%20Generators%20In%20Power%20System%20Using%20Fuzzy%20Logic%20Controller%20Based%20Power%20System%20Stabilizer.pdf
_version_	1747834044081504256
spelling	my-utem-ep.233682022-02-16T12:45:23Z Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer 2018 Hasan, Hayfaa Mohammed Hussein T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Excitation systems are affected by low frequency oscillation (LFO)when they are subjected to small perturbations.Damping during the LFOis enhanced via the addition of power system stabilizer (PSS) to the excitation system.This research entails a study on fuzzy logic controller power system stabilizer (FLCPSS) for the purpose of enhancing the stability of a single machine power system.In order to accomplish the stability enhancement,two approaches were used to design fuzzy logic controller (FLC).The first approach includes the use ofgenetic algorithm (GA) to design the PSS.The second approach entails the use of particle swarm optimization (PSO) to design the PSS.The performance of these two approaches is compared with the systemand without PSS.The stabilizing signals were computed using the fuzzy membership functions depending on these variables.The simulations were tested under different operating conditions and also tested with different membership functions.The simulation is implemented using Matlab /Simulink and the results have been found to be quite good and satisfactory.Electro-mechanical oscillations were created in the event of trouble or when there was high power transfer through weak tie-line in the machines of an interrelated power network.This research presents an analysis on the change of speed (Δω), change of angle position (Δδ) and tie-line power flow (Δp).FLC which includes two areas of symmetrical systems are connected via tie-line to identify the performance of the controllers.Simulation results of the fuzzy logic based controller indicate dual inputs of rotor speed deviation and generator’s accelerating power.Two generators have been used to control the arrangement in the tie-line system.The single fuzzy logic controller (S-FLC) has been used as a primary controller and the double fuzzy logic controller(D-FLC) has been used as a secondary controller.Additionally,the system shows a comparison between the two controllers,namely the S-FLC and D-FLC which have been used to achieve the best results.Notably, the double fuzzy controller has been found to have a greater effect on the multi-machine system and it is smoother than the single fuzzy controller as it increased the damping of the speed Δω and rotorangle (degree) Δδ. Its simplicity has made it to be a good controller.In conclusion,much better response can be attained from the S-FLC) if there is careful timing of the scaling factors. 2018 Thesis http://eprints.utem.edu.my/id/eprint/23368/ http://eprints.utem.edu.my/id/eprint/23368/1/Dynamic%20Stability%20Studies%20Of%20Generators%20In%20Power%20System%20Using%20Fuzzy%20Logic%20Controller%20Based%20Power%20System%20Stabilizer.pdf text en public http://eprints.utem.edu.my/id/eprint/23368/2/Dynamic%20Stability%20Studies%20Of%20Generators%20In%20Power%20System%20Using%20Fuzzy%20Logic%20Controller%20Based%20Power%20System%20Stabilizer.pdf text en validuser http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113036 phd doctoral UTeM Faculty Of Electrical Engineering 1. Abbadi, A., 2012. A Nonlinear Voltage Controller using T-S Fuzzy Model for Multimachine Power Systems. 2012-9th Inernational. 2. AbediniaG, et al., 2010. 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Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer

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