Title :
Ant Colony Optimization based PID for single area load frequency control
Author :
Omar, Murad ; Soliman, M. ; Abdel Ghany, A.M. ; Bendary, F.
Author_Institution :
Dept. of Electr. Eng., Benha Univ., Cairo, Egypt
fDate :
Aug. 31 2013-Sept. 2 2013
Abstract :
In this paper a novel Artificial Intelligence technique known as Ant Colony Optimization (ACO) is used for optimal tuning of PID controller for load frequency control. The system proposed here is a single area with reheat thermal system containing nonlinearities represented by Generation Rate Constraint (GRC), dead band and wide range of parameters. Three different cost functions have been suggested for tuning the PID controller. The closed loop response using these values of PID gains has been compared with Ziegler-Nichols (ZN) tuned one, the system has been tested for various load changes to reveal the effectiveness of the proposed technique.
Keywords :
ant colony optimisation; closed loop systems; control nonlinearities; frequency control; load regulation; optimal control; three-term control; ACO algorithm; GRC; PID gain values; ant colony optimization; artificial intelligence technique; closed loop response; control nonlinearities; cost functions; dead band; generation rate constraint; optimal PID controller tuning; parameter range; reheat thermal system; single-area load frequency control; Convergence; Tuning; Zinc; Load Frequency Control (LFC); PID Controller;
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-0-9567157-3-9
