Optimal PID Controller for AVR System Using Particle Swarm Optimization

Document Type : Original Article

Authors

1 Ministry of Electricity, Cairo, Egypt.

2 Faculty of Engineering "Shoubra" Benha University, Cairo, Egypt.

3 National Energy Control Center, Cairo, Egypt.

4 Elec. 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.

Files

Share

How to cite

Statistics