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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)
TK Electrical engineering. Electronics Nuclear engineering
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
http://eprints.utem.edu.my/id/eprint/23368/
http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113036
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spelling my.utem.eprints.233682022-02-16T12:45:23Z http://eprints.utem.edu.my/id/eprint/23368/ Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer 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 NonPeerReviewed text en 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 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 Hasan, Hayfaa Mohammed Hussein (2018) Dynamic Stability Studies Of Generators In Power System Using Fuzzy Logic Controller Based Power System Stabilizer. Doctoral thesis, UTeM. http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113036
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
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
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
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
http://eprints.utem.edu.my/id/eprint/23368/
http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=113036
_version_ 1725976110128168960
score 13.211869

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