This paper groups basic information about the control of doubly-fed induction generators (DFIG) for wind power generation. The DFIG stator is connected directly to the power grid and its rotor is connected by a double converter called back-to-back. To carry out the control of the generated power, are needed some calculations with complexity equivalent to the machine model, making it difficult to obtain controllers' initial parameters of a part of the system. In this sense, this paper has presented a proposal for the design of the gains of the proportional-integral controller (PI) used in the power vector control for the DFIG rotor drive side using the pole compensation technique. It has also presented the current mesh control of the converter connected to the main grid, the design of the DC link capacitance and the inductance of the harmonic filter. With the above proposals, satisfactory results were obtained both in simulation and in experiment, through an analysis of a simplified model of the machine model. The control derived from the simplified analysis of the model showed similar results compared to the complete and complex model of the machine proposed by other authors.

This paper proposes a Particle Swarm Optimization (PSO) based method, the Weighted-Dynamic-Objective Constraint-Handling PSO Method (WDOCHM-PSO). This was used to design the weighting matrices of an incremental Model-Based Predictive Controller (MBPC) for a Doubly Fed Induction Generator (DFIG) applied in a small-scale wind energy system. In contrast to the original PSO, the proposed method has an inner mechanism for dealing with constraints and an adaptive search factor. Additionally, the proposed incremental MPBC implementation does not need the flux information, since the intrinsic integral action rejects the constant flux disturbance. Finally, experimental results show that the proposed controller with the new constraint handling design method is nearly two times faster (In terms of settling time) than other formulations reported in the literature.