PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR

Abstract

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