Comparative Analysis of Genetic Algorithm and Fuzzy Logic Based Automatic Generation Control of Multi Area Power Systems

C. Ismayil(1*), R. Sreerama Kumar(2), T. K. Sindhu(3)

(1) Department of Electrical Engineering, National Institute of Technology, Calicut, Kerala-673601, India
(2) Vice-Presidency for Projects, King Abdulaziz University, Jeddah, P.O.Box: 80200, Jeddah 21589, Saudi Arabia
(3) Department of Electrical Engineering, National Institute of Technology, Calicut, Kerala-673601, India
(*) Corresponding author


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Abstract


This paper illustrates the application of fuzzy logic FL) to automatic generation control (AGC) of a two area thermal power system and compares its performance with genetic algorithm (GA) based PI controller. The PI controller parameters are redesigned by the application of fuzzy logic.  To verify the performance of the fuzzy based AGC, the task of tuning PI parameters is reformulated as an optimization problem for the application of GA. A comparison between the proposed fuzzy logic and GA based controllers, in terms of three time domain performance indices are presented.
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Keywords


Automatic Generation Control; Genetic Algorithm; Fuzzy Logic; Area Control Error

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References


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