DAMPING POWER SYSTEM OSCILLATIONS USING PARTICLE SWARM-BASED CONTROLLER
Emary, A., Mostafa, H., El-sharkawy, M., Yassin, K. (2006). DAMPING POWER SYSTEM OSCILLATIONS USING PARTICLE SWARM-BASED CONTROLLER. EKB Journal Management System, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-11. doi: 10.21608/iceeng.2006.33622
Adel Aly Emary; H. E. Mostafa; M. A. El-sharkawy; K. Yassin. "DAMPING POWER SYSTEM OSCILLATIONS USING PARTICLE SWARM-BASED CONTROLLER". EKB Journal Management System, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-11. doi: 10.21608/iceeng.2006.33622
Emary, A., Mostafa, H., El-sharkawy, M., Yassin, K. (2006). 'DAMPING POWER SYSTEM OSCILLATIONS USING PARTICLE SWARM-BASED CONTROLLER', EKB Journal Management System, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-11. doi: 10.21608/iceeng.2006.33622
Emary, A., Mostafa, H., El-sharkawy, M., Yassin, K. DAMPING POWER SYSTEM OSCILLATIONS USING PARTICLE SWARM-BASED CONTROLLER. EKB Journal Management System, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-11. doi: 10.21608/iceeng.2006.33622

DAMPING POWER SYSTEM OSCILLATIONS USING PARTICLE SWARM-BASED CONTROLLER

The International Conference on Electrical Engineering
Article 44, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Pages 1-11    PDF (237.87 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2006.33622
Authors
Adel Aly Emary1; H. E. Mostafa2; M. A. El-sharkawy3; K. Yassin1
1National Energy Control Center of Egypt.
2Faculty of Industrial Education, Suez Canal University.
3Electrical Power & Machines Dept., Ain-Shams University.
Abstract
ABSTRACT:
In this paper, the Particle Swarm Optimization (PSO) technique is used to develop a
controller for damping power system oscillations. The speed deviation Δω and its rate of
change
•
Δω are selected as input signals to the proposed controller. The objective is to get
optimal gains values of the controller within pre-specified limits to improve the system
dynamics.
In order to ensure the reliability of the PSO based controller, a comparison has been made
between the effect of the developed controller and that of an ℋ∞ controller on the dynamic
performance of a single machine connected to infinite bus. The simulation results show that
the PSO-based controller offer effective damping to system oscillations in a wide range of
operating conditions and system parameters.
Keywords
Power System Stabilizer; Particle Swarm Optimization
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