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PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR | ||
| Al-Qadisiyah Journal for Engineering Sciences | ||
| Article 1, Volume 6, Issue 3, 2013, Pages 315-331 PDF (0 K) | ||
| Author | ||
| Helen J. Jawad | ||
| 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. | ||
| Keywords | ||
| PID controller; Particle swarm optimization; Synchronous Generator; governor | ||
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