Optimal PID Controller for AVR System Using Particle Swarm Optimization | ||||
| The International Conference on Electrical Engineering | ||||
| Article 53, Volume 8, 8th International Conference on Electrical Engineering ICEENG 2012, May 2012, Page 1-18 PDF (200.46 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2012.30799 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| H. F. Abu-Seada1; W. M. Mansor2; F. M. Bendary2; A. A. Emery3; M. A. Moustafa Hassan4 | ||||
| 1Ministry of Electricity, Cairo, Egypt. | ||||
| 2Faculty of Engineering "Shoubra" Benha University, Cairo, Egypt. | ||||
| 3National Energy Control Center, Cairo, Egypt. | ||||
| 4Elec. Power Dept., Cairo University, Giza Egypt. | ||||
| Abstract | ||||
| This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve performance of the system. Tuning of optimum (PID) controller parameter yield high quality solution. A new criterion for time domain performance evaluation was defined. Simulation for comparison between the proposed method and Ziegler-Nichols method is done. The proposed method was indeed more efficient also. The terminal voltage step response for AVR model will be discussed in different cases and the effect of adding rate feed back stabilizer to the model on the terminal voltage response. Then the rate feedback will be compared with the proposed PID controller based on use of (PSO) method to find its coefficients. Different simulation results are presented and discussed. | ||||
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