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Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization

In this paper, meta-heuristic optimization based on Particle Swarm (PSO) and Bacterial foraging (BFO) has been used to determine the optimal values of the proportional-integral-deviation (PID) controller for the load frequency control. Single area power system has been designed as a model network f...

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Main Authors: Hong, Mee Song, Wan Ismail, Ibrahim, Nor Rul Hasma, Abdullah
Format: Article
Language:English
English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/11545/7/fkee-w.i%20ibrahim-optimal%20load%20frequency%20control.pdf
http://umpir.ump.edu.my/id/eprint/11545/12/fkee-2015-hong-optimal%20load%20frequency.pdf
http://umpir.ump.edu.my/id/eprint/11545/
http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1215_3124.pdf
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spelling my.ump.umpir.115452018-04-18T03:32:28Z http://umpir.ump.edu.my/id/eprint/11545/ Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization Hong, Mee Song Wan Ismail, Ibrahim Nor Rul Hasma, Abdullah TK Electrical engineering. Electronics Nuclear engineering In this paper, meta-heuristic optimization based on Particle Swarm (PSO) and Bacterial foraging (BFO) has been used to determine the optimal values of the proportional-integral-deviation (PID) controller for the load frequency control. Single area power system has been designed as a model network for Matlab-Simulink simulation. The comparison has been done between the conventional PI controller and PID controller tuned by Particle Swarm and Bacteria Foraging optimization technique. Based on time settling, transient and overshoot analysis, it can be concluded and profoundly proved that PID tuning by BFO technique is better than PSO technique and conventional PI controller. Asian Research Publishing Network (ARPN) 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11545/7/fkee-w.i%20ibrahim-optimal%20load%20frequency%20control.pdf application/pdf en cc_by_nc http://umpir.ump.edu.my/id/eprint/11545/12/fkee-2015-hong-optimal%20load%20frequency.pdf Hong, Mee Song and Wan Ismail, Ibrahim and Nor Rul Hasma, Abdullah (2015) Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization. ARPN Journal of Engineering and Applied Sciences, 10 (22). pp. 10733-10739. ISSN 1819-6608. (Published) http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1215_3124.pdf
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hong, Mee Song
Wan Ismail, Ibrahim
Nor Rul Hasma, Abdullah
Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
description In this paper, meta-heuristic optimization based on Particle Swarm (PSO) and Bacterial foraging (BFO) has been used to determine the optimal values of the proportional-integral-deviation (PID) controller for the load frequency control. Single area power system has been designed as a model network for Matlab-Simulink simulation. The comparison has been done between the conventional PI controller and PID controller tuned by Particle Swarm and Bacteria Foraging optimization technique. Based on time settling, transient and overshoot analysis, it can be concluded and profoundly proved that PID tuning by BFO technique is better than PSO technique and conventional PI controller.
format Article
author Hong, Mee Song
Wan Ismail, Ibrahim
Nor Rul Hasma, Abdullah
author_facet Hong, Mee Song
Wan Ismail, Ibrahim
Nor Rul Hasma, Abdullah
author_sort Hong, Mee Song
title Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
title_short Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
title_full Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
title_fullStr Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
title_full_unstemmed Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
title_sort optimal load frequency control in single area power system using pid controller based on bacterial foraging & particle swarm optimization
publisher Asian Research Publishing Network (ARPN)
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/11545/7/fkee-w.i%20ibrahim-optimal%20load%20frequency%20control.pdf
http://umpir.ump.edu.my/id/eprint/11545/12/fkee-2015-hong-optimal%20load%20frequency.pdf
http://umpir.ump.edu.my/id/eprint/11545/
http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1215_3124.pdf
_version_ 1822917284478320640
score 13.23243

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