Robust Pss-pid Based Ga Optimization For Turboalternator

AUTHOR(S):

Amina Derrar, Abdelatif Naceri, Djamel El Dine Ghouraf

TITLE

Robust Pss-pid Based Ga Optimization For Turboalternator

ABSTRACT

Proportional Integral Derivative (PID) controllers are widely used in many fields because they are simple and effective .Tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner system. In the last two decades many intelligent optimization techniques were took attention of researchers like : Particle Swarm Optimization (PSO) and Genetic Algorithm (GA)techniques. The purpose of this paper is to present the modeling and simulation of conventional power system stabilizer (PSS-PID) .then we use Genetic Algorithm technique to find the best parameters of the optimal(PSS-PID) .The obtained results have proved that (G.A) are a powerful tools for optimizing the PSS parameters, and more robustness of the system IEEE SMIB .

KEYWORDS

Genetic Algorithm, PID controller, PSS, power system stabilizer, Synchronous Generator

REFERENCES

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Cite this paper

Amina Derrar, Abdelatif Naceri, Djamel El Dine Ghouraf. (2017) Robust Pss-pid Based Ga Optimization For Turboalternator. International Journal of Control Systems and Robotics, 2, 163-169