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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Asian Research Publishing Network (ARPN)
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/11545/ 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 |
| _version_ | 1848819037242392576 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T01:47:11Z |
| format | Article |
| id | ump-11545 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T01:47:11Z |
| publishDate | 2015 |
| publisher | Asian Research Publishing Network (ARPN) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
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| title_full | Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
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| title_fullStr | Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
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| title_full_unstemmed | Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
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| title_short | Optimal Load Frequency Control in Single Area Power System Using Pid Controller Based on Bacterial Foraging & Particle Swarm Optimization
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| title_sort | optimal load frequency control in single area power system using pid controller based on bacterial foraging & particle swarm optimization |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/11545/ http://umpir.ump.edu.my/id/eprint/11545/ 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 |