Inteliigent Load-Frequency Control of Power System in the Precence of Wing Uncertainty Based on Latin Hyper Square and Particle Swarm Optimization Algorithms

This paper presents a method of load-frequency control in power systems in the presence of wind turbines in the presence of wind uncertainty. To do this, using power system modelled on power factory@ software and considering classic stabilizers, the speed of the wind turbines is controlled.  In the case of increasing the system damping performance, using intelligent particle swarm optimization algorithm, stabilizer parameters are optimized. Also, in order to evaluate wind units stability through different natural situations, considering the wind and load uncertainties evaluated through LHS sampling algorithm, the wind turbines frequency control are investigated. Results indicate the proper performance of the controller in the presence of wind and load uncertainties.