The Intelligent Control of DFIG-Based Wind Generation

Doubly-Fed Induction Generator (DFIG) has been widely used in Variable-Speed Constant-Frequency (VSCF) wind energy generation system. Vector control has already been applied to the DFIG control, which makes the DFIG gain good performance in the wind energy capturing operation. In recent years, many researches of vector control take the following manner to track the largest wind energy under the rated wind speed. However, when wind speed increases, larger than the rated value, the output power can remain stable only by adjusting the pitch angle. Therefore, variable pitch control is a significant aspect of wind power. In order to improve the traditional vector control, intelligent control is proposed on the basic of the analysis of the dynamic mathematical model of DFIG and its stator-flux-oriented vector control. At low wind speed, based on fuzzy control, it is adjusted to get the maximum wind energy performance coefficient. At high wind speed, based on neural network control, pitch angle is adjusted to keep rated output power. The system is simulinked by MATLAB tool, and makes a satisfying result.