摘要
为了提高小型永磁直驱风力发电系统的发电效率并降低控制成本,基于转速信号与功率信号,采用支持向量机方法,对1台200 W永磁直驱风力发电机建立风速估计模型。分析模型参数对模型精度的影响,并采用萤火虫算法对模型参数进行优化。基于上述模型提出一种最大功率跟踪复合控制方法,并利用Matlab对该方法进行仿真验证,结果表明其具有有效性。最后利用送风机、小型永磁直驱风力机等构成试验平台,对所提控制方法的可行性进行验证。
In order to improve the efficiency and reduce the control cost of the small permanent magnet direct-drive wind power generation system, a wind speed estimation model for 200 W permanent magnet direct-drive wind turbines is established using support vector regression method, which takes the speed signal and power signal as inputs. The influence of model parameters to model accuracy is analyzed, and parameters optimization is performed adopting the firefly algorithm. A maximum power point tracking control method is proposed based on the wind speed estimation model and Hill-climbing algorithm. The results of simulation and experiment showed that the presented method could effectively improve the generation efficiency of the system.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2017年第3期631-639,共9页
Acta Energiae Solaris Sinica
基金
中央高校基金科研业务费专项资金重点项目(2015ZD17)
中央高校基金科研业务费专项资金面上项目(2014MS143)
关键词
风力发电机
最大功率跟踪
支持向量机
萤火虫算法
wind turbine
maximum power point tracking
support vector regression （SVR）
firefly algorithm
