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

Authors: T. Hussein

Abstract:

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.

Keywords: Load Frequency Control (LFC), PID controller and Genetic Algorithm (GA).

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1060886

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.