An Optimal Active Power Control Method of Wind Farm Using Power Prediction Information

With the fast development of wind power, the techniques related to its grid integration and control have been researched all over the world. In which, active power control of wind farm is one of the most important techniques. However, current methods are not good to satisfy the relevant requirements. For the problem, an optimal active power control method of wind farm using the information of ultra-short-term wind power prediction is proposed in this paper. In this method, a weight coefficient is defined to judge whether the generator can be adjusted or not, and used to calculate the power allocation of wind generators. Finally, by comparing with current methods, the results show that the proposed method can improve the controllability and reliability of wind power to smooth power output of wind generators and avoid frequent power adjustment.