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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:54443", author = "T. Hussein", title = "A Genetic Algorithm for Optimum Design of PID Controller in Load Frequency Control", 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).", volume = "6", number = "10", pages = "1207-4", }