A Genetic Algorithm for Optimum Design of PID Controller in Load Frequency Control

In this paper, determining the optimal proportionalintegral- derivative (PID) controller gains of an single-area load frequency control (LFC) system using genetic algorithm (GA) is presented. The LFC is notoriously difficult to control optimally using conventionally tuning a PID controller because the system parameters are constantly changing. It is for this reason the GA as tuning strategy was applied. The simulation has been conducted in MATLAB Simulink package for single area power system. the simulation results shows the effectiveness performance of under various disturbance.

Authors:



References:
[1] P. Kundur, Power System Stability and Control, The EPRI Power System Engineering Series, McGraw-Hill, 1994.
[2] H. Bevrani, V. Mitani, K. Tsuji, "Robust Decentralized AGC in a Restructured Power System Energy Conversion and Management" 45
(2004), 2297-2312.
[3] A. Kumar, O.P. Malik, G.S. Hope, Variable structure-system control applied to AGC of an interconnected power system, IEE Proceedings,vol.132, Pt.C, No.1, pp.23-29, January1985.
[4] H. Unbehauen, I. Kocaarslan, "Experimental Modelling and Adaptive
Power Control of a 750 MW Once-Through Boiler" Proceedings of
11thIFAC World Congress, Tallin, SU, Vol. 4, pp.226- 231, 13-17
August 1990
[5] K. J. Astrom, CC. C. Hang, P. Persson and W. K. Ho "Automatic
Tuning and Adaptation for PID Controllers- Survey. Control
Engineering Practice,1, 699-714, 1992.
[6] Whitley "A Genetic Algorithm Tutorial" Technical Report CS-93-103,
Dept. of Computer Science, Colorado State University, 1993.