Mostafa, H. (2006). TUNING PID CONTROLLER FOR LOAD FREQUENCY CONTROL USING PARTICLE SWARM OPTIMIZATION TECHNIQUE. test, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-9. doi: 10.21608/iceeng.2006.33621
H. E. Mostafa. "TUNING PID CONTROLLER FOR LOAD FREQUENCY CONTROL USING PARTICLE SWARM OPTIMIZATION TECHNIQUE". test, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-9. doi: 10.21608/iceeng.2006.33621
Mostafa, H. (2006). 'TUNING PID CONTROLLER FOR LOAD FREQUENCY CONTROL USING PARTICLE SWARM OPTIMIZATION TECHNIQUE', test, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-9. doi: 10.21608/iceeng.2006.33621
Mostafa, H. TUNING PID CONTROLLER FOR LOAD FREQUENCY CONTROL USING PARTICLE SWARM OPTIMIZATION TECHNIQUE. test, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-9. doi: 10.21608/iceeng.2006.33621

TUNING PID CONTROLLER FOR LOAD FREQUENCY CONTROL USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

The International Conference on Electrical Engineering
Article 43, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Pages 1-9    PDF (217.07 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2006.33621
Author
H. E. Mostafa
Lecturer, Faculty of Industrial Education, Suez Canal University, Suez, Egypt.
Abstract
ABSTRACT:
This paper describes the application of Particle Swarm Optimization (PSO) technique to
optimize a PID controller parameters for Load Frequency Control (LFC). The robustness of the
proposed controller is investigated through parameters variations and changing the magnitude of
load disturbance. The simulation results show that the applied PSO-based PID controller is
achieved good performance even in the presence of the generation rate constraint (GRC). A
comparative study results is made between the H∞ controller and the proposed one. The
performance is shown to be better for the new PID controller
Keywords
Load frequency control; PID control; Particle Swarm Optimization
Statistics
Article View: 134
PDF Download: 264