摘要
对于实现风电机组最大功率点跟踪的最优转矩控制,通过适当减小转矩增益可以有效提升风能捕获效率。但现有研究发现,变化的湍流风速条件不仅会改变最佳转矩增益系数,还会影响用于寻优该值的自适应算法的收敛性能,进而导致难以提高甚至降低风能捕获效率的问题。为此,通过分析风速条件变化影响自适应算法的机理,发现了导致该算法搜索方向持续出错而恶化风能捕获效率的风速条件渐变良好场景。在此基础上,提出了考虑变化湍流风速条件的改进自适应转矩控制,通过引入动态风能捕获损失量指标识别出此类场景,结合中断与重启搜索机制,防止自适应算法搜索发散,从而提升风电机组发电效率。最后,基于风电机组传动链模拟实验平台,分析验证所提方法的有效性。
The wind energy capture efficiency can be effectively improved by properly decreasing the torque gain for the optimal torque control of the maximum power point tracking of wind turbines. However, existing research has pointed out that varying turbulence conditions can not only change the coefficients of optimal torque gain but also affect the convergence performance of the adaptive algorithm for searching the optimal value. The consequent unreasonable torque gain makes it difficult to improve or even reduces the wind energy capture efficiency. Therefore, through the mechanism analysis of the impact of varying turbulence conditions on adaptive algorithm, a well-graded scene of wind conditions is found, which can lead the algorithm search direction continuous incorrect and make wind energy capture efficiency worse. On this basis, an improved adaptive torque control considering varying turbulence conditions is proposed to identify such scenes by introducing the dynamic wind energy capture loss index. By combining the interrupt and restart search mechanism, the search divergence of adaptive algorithm can be prevented, so as to improve the efficiency of wind turbine power generation. Finally, the experiments based on wind turbine drive chain test bench are presented to verify the effectiveness of the proposed method.
作者
周连俊
殷明慧
杨炯明
邹云
张刘冬
ZHOU Lianjun;YIN Minghui;YANG Jiongming;ZOU Yun;ZHANG Liudong(Jiangsu Goldwind Science&Technology Co.,Ltd.,Yancheng 224100,China;School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 211106,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2021年第1期184-191,共8页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(61773214)
江苏省博士后科研资助计划(2019K237)。
关键词
风力发电
最大功率点跟踪
自适应转矩控制
变化湍流风速条件
wind power
maximum power point tracking(MPPT)
adaptive torque control(ATC)
varying turbulence condition
