Response Improvement of Doubly Fed Induction Generators Driven by Wind Turbines Using PSO and RCGA Algorithms

The frequency converter is the most sensitive part in the variable-speed wind turbine generator system equipped with a doubly fed induction generator (DFIG). The frequency converter is normally controlled by a set of PI controllers. In order to improve the response of DFIG when subjected to system disturbances the best way is to tune the PI controllers of the frequency converter. Due to the high complexity of the system, tuning of these PI controllers is very difficult. In this paper an approach is presented to improve the response of DFIG when subjected to system disturbances using Particle Swarm Optimization (PSO). For that, tuning of all PI controllers parameters are considered. In order to verify the results Real Code Genetic algorithm is also used in this approach and the results are compared.

Keywords:

DFIG , PSO , rotor over current , PI controller , frequency converter