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.
J. Jawad,H . (2013). PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR. Al-Qadisiyah Journal for Engineering Sciences, 6(3), 315-331.
MLA
J. Jawad,H . "PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR", Al-Qadisiyah Journal for Engineering Sciences, 6, 3, 2013, 315-331.
HARVARD
J. Jawad H. (2013). 'PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR', Al-Qadisiyah Journal for Engineering Sciences, 6(3), pp. 315-331.
CHICAGO
H J. Jawad, "PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR," Al-Qadisiyah Journal for Engineering Sciences, 6 3 (2013): 315-331,
VANCOUVER
J. Jawad H. PARTICLE SWARM OPTIMIZATION BASED OPTIMUM PID CONTROLLER FOR GOVERNOR SYSTEM OF SYNCHRONOUS GENERATOR. QJES. 2013;6(3):315-331.
