我国乃至全球风力发电技术目前还不够成熟,在发电过程中存在很大的损耗。 众多解决方法都存在着抗干扰性(即稳定性)较差,响应速度较慢的问题,难以精确迅速地跟踪最大功率点,实现双馈电机的最大输出,而且由于风力机响应时间常数大、精度低、动态调节能力差,风速检测比较困难,很难通过调节风 力机转速实现最大风能追踪。 为了解决这些问题,提出以双馈电机定子输出反馈给电网的功率最大为目标,建立基于电网电压定向下的 DFIG 数学模型,并在此模型基础上引入模糊控制,实现双馈电机最大功率点跟踪策略(把追寻双馈电机定子输出给电网电能最大控制策略统一称之为最大功率点跟踪策略)。 最后,通过MATLAB 进行仿真和实验不同风速条件下的动态调节性能,实现了双馈电机最大功率点跟踪的稳定性和灵敏度提高,并且在风速变化的情况下也能迅速进行最优控制。 因此,该方法理论具备参考和利用价值。
Wind power generation technology in China and the world is still not mature, and there is a lot of loss in the process of power generation. Many solutions have poor anti-interference (stability) and slow response speed, which makes it difficult to accurately and rapidly track the maximum power point and achieve the maximum output of the doubly-fed motor. Moreover, wind speed detection is difficult due to the large response time constant, low precision and poor dynamic adjustment ability of the wind turbine. It is difficult to achieve maximum wind tracking by adjusting wind turbine speed. In order to solve these problems, a DFIG mathematical model based on grid voltage orientation is established with the goal of maximizing the output power fed to the grid by the stator output of the doubly-fed motor, and fuzzy control is introduced on the basis of this model, so as to achieve maximum power point tracking strategy of doubly-fed motor. The control strategy of tracing the maximum power output from the stator of the doubly-fed motor to the grid is called the maximum power point tracking strategy.Finally, MATLAB is used to simulate and test the dynamic regulation performance under different wind speed conditions, and the stability and sensitivity of the maximum power point tracking of the doubly-fed motor are improved, and the optimal control can be quickly performed in the case of wind speed changes. Therefore, this method and theory have reference and application value.
张吴飞, 王双园, 李帅帅, 李嘉成.双馈风机系统最大功率控制研究[J].重庆工商大学学报（自然科学版）,2022,39(5):42-49
ZHANG Wu-fei, WANG Shuang-yuan, LI Shuai-shuai, LI Jia-cheng. Research on Maximum Power Control of Doubly-fed Wind Turbine System[J]. Journal of Chongqing Technology and Business University(Natural Science Edition）,2022,39(5):42-49