KHC算法在风力发电机组偏航系统的运用

Application of Kalman Hill Climbing Control Algorithm in yaw control system of wind power generation unit

针对现实生活中风力发电机对风精度不高、机组下风方向的风机受其余风机气流影响无法准确对风的问题,提出了一种优化卡尔曼滤波和爬山法相结合的新型控制算法———KHC算法。该算法的核心内容是通过功率检测的方法进行高精度对风控制并利用卡尔曼滤波进行风向量预测,避免偏航机构疲劳动作和干扰。通过仿真分析,验证了算法的可行性,风机发电效率得到了极大提高。

In some wind farms,the wind power generator may aim the wind direction no so accurately,and the wind power generators located in leeward of other wind generators are impacted by air flow of other wind power generators and can not aim the wind direction exactly.Aiming at above-mentioned problems,the KHC algorithm,a new control algorithm,in which the optimized Karman filtering is combined with hill climbing method,was put forward.The core contents of the algorithm are that using the power detection to aim the wind direction and contral high accurately,and using the Kalman filtering to predict the wind vector to avoid the frequent and fatigue action of the yaw mechanism and the interferences.By simulation analysis,the feasibility of the algorithm was verified;and the wind power generation efficiency had been increased greatly.