Various wind generator types have appeared, in which it is the most representative that variable speed and constant frequency wind turbine, it is to adjust the wind turbine speed by changing the pitch angle.
Therefore, real-time monitoring of the unit and the speed control is a very challenging task, which requires not only to maximize efficiency, but also to take into account cost,
reliability and other aspects of factors, to promote the security and stability running for the grid networks.
Because most of wind power generation are installed in relatively abundant area of wind resources such as in the sea or the valley, with the bad environment, complicated topography, transportation inconvenient factor, there are different forms of wind power failure, there are many of these failures can be achieved through condition monitoring, fault diagnosis technology to avoid or reduce.
Otherwise, it will inevitably lead to huge losses. On the other hand, the wind power generation system is a large inertial system, with the characteristics of misalignment, time-delay, random disturbance and so on, establishing its optimum control mathematical model is very difficult.
As the wind direction and speed momentarily will change, which drift system have also time-varying parameters. If the wind electric field data acquisition's precision is low, the reaction rate is slow,
real-time is poor, will cause the control effect difference,
and directly lead to impact on wind power generation out putand quality.