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Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li

Automatic Generation Control (AGC) is used for regulating the electrical power supply in two-area power system and changing the system frequency and tie-line load. The performance of AGC has to be tuned properly so that the performance can be optimized. In this project, modified evolutionary particl...

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Bibliographic Details
Main Author:	Lu , Li
Format:	Thesis
Published:	2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://studentsrepo.um.edu.my/9614/1/Lu_Li.jpg http://studentsrepo.um.edu.my/9614/8/Report_LULI.pdf http://studentsrepo.um.edu.my/9614/
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spelling	my.um.stud.96142021-03-02T00:37:10Z Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li Lu , Li TK Electrical engineering. Electronics Nuclear engineering Automatic Generation Control (AGC) is used for regulating the electrical power supply in two-area power system and changing the system frequency and tie-line load. The performance of AGC has to be tuned properly so that the performance can be optimized. In this project, modified evolutionary particle swarm optimisation (MEPSO) -time varying acceleration coefficient (TVAC) is proposed for an AGC of two-area power system to optimize its performance by tuning parameters of the PID controllers. Comparison of the performance by using the proposed algorithm and other algorithms was made to identify which algorithm is better in controlling the performance of the AGC. The AGC in two-area power system was constructed and simulated by using MATLAB R2017b software. From the simulation results, it was found that with the same number of PID controllers, the performance of AGC optimised by using MEPSO-TVAC algorithm is better in terms of overshoot and fitness value than using EPSO and PSO algorithms. Also, using MEPSO-TVAC algorithm, the performance of AGC by using two PID controllers is better in terms of rise time and settling time than using one PID controller. Therefore, via implementation of optimisation method, the performance of AGC can be improved by varying the parameters of PID controller. 2018-08 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/9614/1/Lu_Li.jpg application/pdf http://studentsrepo.um.edu.my/9614/8/Report_LULI.pdf Lu , Li (2018) Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/9614/
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Student Repository
url_provider	http://studentsrepo.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Lu , Li Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
description	Automatic Generation Control (AGC) is used for regulating the electrical power supply in two-area power system and changing the system frequency and tie-line load. The performance of AGC has to be tuned properly so that the performance can be optimized. In this project, modified evolutionary particle swarm optimisation (MEPSO) -time varying acceleration coefficient (TVAC) is proposed for an AGC of two-area power system to optimize its performance by tuning parameters of the PID controllers. Comparison of the performance by using the proposed algorithm and other algorithms was made to identify which algorithm is better in controlling the performance of the AGC. The AGC in two-area power system was constructed and simulated by using MATLAB R2017b software. From the simulation results, it was found that with the same number of PID controllers, the performance of AGC optimised by using MEPSO-TVAC algorithm is better in terms of overshoot and fitness value than using EPSO and PSO algorithms. Also, using MEPSO-TVAC algorithm, the performance of AGC by using two PID controllers is better in terms of rise time and settling time than using one PID controller. Therefore, via implementation of optimisation method, the performance of AGC can be improved by varying the parameters of PID controller.
format	Thesis
author	Lu , Li
author_facet	Lu , Li
author_sort	Lu , Li
title	Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
title_short	Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
title_full	Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
title_fullStr	Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
title_full_unstemmed	Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
title_sort	optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / lu li
publishDate	2018
url	http://studentsrepo.um.edu.my/9614/1/Lu_Li.jpg http://studentsrepo.um.edu.my/9614/8/Report_LULI.pdf http://studentsrepo.um.edu.my/9614/
_version_	1738506283745542144
score	13.211869

Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li

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