AGC with Fuzzy controller parameters are tuned by GA | ||||
| The International Conference on Electrical Engineering | ||||
| Article 139, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-10 PDF (206.38 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2008.34506 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hakan Saracoglu; Aysen Demiroren | ||||
| 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. | ||||
| Keywords | ||||
| Automatic generation control; Fuzzy control; area control error; Genetic Algorithm | ||||
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