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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | International Conference on Electrical, Control and Computer Engineering (INECCE 2015),27-28 October 2015, Kuantan, Pahang |
| Uncontrolled Keywords: | Particles Swarm optimization, Bacterial Foraging optimization, Load frequency controller |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 02 Dec 2015 08:31 |
| Last Modified: | 18 Apr 2018 03:32 |
| URI: | http://umpir.ump.edu.my/id/eprint/11545 |
| Download Statistic: | View Download Statistics |
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