AGC with Fuzzy controller parameters are tuned by GA

Document Type : Original Article

Authors

Department of Electrical Engineering, Electric and Electronic Faculty, 􀃸stanbul Technical University 34469, Maslak, 􀃸stanbul 80626, Turkey.

Abstract

Abstract:
This paper presents a method based on fuzzy logic controllers and genetic algorithm
technique for automatic generation control (AGC) of power systems. In this study,
ordinary fuzzy PI controller and fuzzy PI controller that its parameters are tuned by
using genetic algorithm technique also used as load-frequency controllers with classical
integral controller. The proposed control has been designed to control systems include
three areas having two steam turbines and one hydro turbine and include two areas
having two steam turbines tied together through power lines. The load perturbation to
first area of power systems that its simulation models is designed and implemented by
using computer program is applied. As result of this, changing frequency and tie-line
exchange power values is retrieve back to their desired values by using three different
kinds of controllers. From the obtained results, it is shown that the performance of
fuzzy PI controller that its gain parameters tuned by using GA outperforms than other
controller configurations.

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