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Keywords

PID controller
Particle swarm optimization
Synchronous Generator
governor

Abstract

This paper presents a Particle Swarm Optimization (PSO) method for determining the optimal proportional – integral-derivative (PID) controller parameters for governor control of a synchronous generator .The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The synchronous generator is modeled and the PSO algorithm is implemented in simulink of matlab. The simulation results demonstrates the effectiveness of the designed system in terms of reduced settling time, peak overshoot and oscillations of frequency devaition. The results are compared with traditional trial and error tuning of the PID controller. Which gives in the PSO-PID controller: maximum positive overshoot of frequency deviation =0 and negative overshoot of frequency deviation =-0.042, Settling time= 7sec. Whereas, in conventional trial and error tuning: maximum positive overshoot of frequency deviation =0.002 and negative overshoot of frequency deviation =-0.03, Settling time= 11sec.
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