Modern control engineering (3rd ed.)
Modern control engineering (3rd ed.)
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Gasifier system identification for biomass power plants using response surface method
EE'10 Proceedings of the 5th IASME/WSEAS international conference on Energy & environment
Response surface method application in gasifier system identification for biomass power plants
WSEAS TRANSACTIONS on SYSTEMS
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This paper presents an application of the artificial intelligent search technique to find parameters optimization of power system stabilizer (PSS) considering proportional-integral-derivative controller (PID) for a multi-machine power system. Gain settings of PID - PSS which improve damping frequency of system are optimized by minimizing an objective function using the artificial intelligent search technique, Particle Swarm Optimization (PSO). Four machines power system is used to reveal the effectiveness of purpose method. At the same operating point, the PID - PSS parameters are also tuned by the Ziegler-Nichols method. The performance of proposed controller compared to the conventional Ziegler-Nichols PID tuning controller. The results reveal superior effectiveness of the proposed PSO based PID controller.