High-Precision Intelligent Dynamic Scheduling Algorithm and Application During Service of Wind Turbine Group

The problem of low control accuracy is common in the new energy power system, especially with the increase of the installed capacity of wind turbines and the increase in the number of controlled wind turbines, the higher requirements for the whole field control strategy, the more obvious the problem of low control accuracy. In response to the above problems,, after analyzing the two fundamental reasons for the large control error of wind turbine group, Firstly, this paper optimizes the closed-loop control of the entire wind farm by using the improved PID (Proportion Integration Differentiation) controller, and eliminates the error caused by line loss. Secondly, aiming at the problem of large error caused by obvious oscillation in the small power section in the wind turbine group control process, the sliding step theory is proposed, and in the process of small power section control, the wind turbines with the least amount of intelligent allocation participates in the control, thereby reducing the oscillation and error, and finally, the actual open-loop and closed-loop control data of multiple wind turbine group are analyzed. The actual field results show that after using the algorithm in this paper, the whole field control accuracy of the wind turbine group can reach within 1%, which effectively solves the problem of low control accuracy of the whole field of the large-capacity wind turbine group, The frequency stability of wind farm grid connection has been improved step-by-step.