Improving dynamic response of wind turbine driven DFIG with novel approach

Abstract

The frequency converter is the most sensitive part in the variable-speed wind turbine generator system equipped with a double-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, the tuning of these PI controllers is very difficult. In this paper an approach is offered to improve the response of DFIG when subjected to system disturbances using Hybrid Particle Swarm Optimization and Genetic Algorithm (PSO-GA). In this case, tuning all PI controllers' parameters is considered. The results show that the proposed algorithm is well suited in terms of accuracy and quick response.