摘要
为了尽可能地提高风力发电机组的风能利用效率,实现风力发电系统的最大功率(MPPT)跟踪,针对风速随机变化范围大和转矩振荡剧烈等问题,提出基于最佳转速的超扭曲最大功率跟踪控制策略。建立了风力发电机组的数学模型,并设计了基于LS-SVM的风速估计器对有效风速进行估计。针对部分系统状态参数难以准确测量的问题,构造超扭曲滑模观测器进行状态估计。通过仿真实验将该控制方法与传统方法进行对比,验证了该控制策略在实现最大功率跟踪控制方面的良好效果,具有一定的实用性和可行性。
In order to improve the wind energy utilization efficiency of wind turbines as much as possible,implement the maximum power point tracking(MPPT)of wind power generation system and solve the problems of large random variation of wind speed and severe torque oscillation,we have proposed a super-twist MPPT control strategy based on the optimal speed.A mathematical model of wind turbines was established,and a wind speed estimator based on LS-SVM was designed to estimate the effective wind speed.For the problem that some system state parameters are difficult to measure accurately,we constructed a super-twisted sliding mode observer for state estimation.The control method compared with the traditional one through simulation experiments is proved more effective in achieving MPPT control and takes certain practicability and feasibility.
作者
曹松青
郝万君
陈歆婧
王飞
王昊
孙志辉
CAO Songqing;HAO Wanjun;CHEN Xinjing;WANG Fei;WANG Hao;SUN Zhihui(School of Electronic&Information Engineering,SUST,Suzhou 215009,China;Jilin Ouke Automation Equipment Co.,Ltd,Jilin 132021,China)
出处
《苏州科技大学学报（自然科学版）》
CAS
2020年第3期74-79,共6页
Journal of Suzhou University of Science and Technology（Natural Science Edition）
基金
国家自然科学基金资助项目(51477109,61703296)。
关键词
滑模观测器
风力发电
超扭曲算法
风速估计
sliding mode observer
wind power generation
super-twisting algorithm
wind speed estimation
