Hesam addin Emamipour - South Region of Kerman Province Electrical Power Distribution Company kerman, iran
Ali hesami naghshbandi - Electrical Engineering Department University of Kurdistan Sanandaj, Kurdistan, IRAN
Abbas darijani - South Region of Kerman Province Electrical Power Distribution Company kerman, iran
Hossein mohkami - South Region of Kerman Province Electrical Power Distribution Company kerman, iran

In this paper, the genetic algorithm is used for the optimization of the parameters of internal model control method to design optimal PID load frequency controller in a deregulated power system under a bilateral contract policy in the presence of all important physical constraints and in the presence of plant parameter variations and wind turbine power fluctuations. Simulation results show the improvement of power system damping and the acceptable performance of the tuned controller in deregulated environment in the presence of all the important physical constraints and wind turbine power fluctuation.

Load Frequency Control, Internal Model Control, Deregulated power system, Genetic Algorithm, Wind power fluctuation