基于同步扰动随机逼近算法的最大风能追踪控制  

Maximum Wind Power Tracking Control Based on Simultaneous Perturbation Stochastic Approximation Algorithm

作　　者：匡洪海[1,2] 吴政球[1] 李圣清[2] 

机构地区：[1]湖南大学电气与信息工程学院,湖南省长沙市410082 [2]湖南工业大学电气与信息工程学院,湖南省株洲市412007

出　　处：《电力系统自动化》2012年第24期34-38,共5页Automation of Electric Power Systems

摘　　要：为使风力发电系统在变动风速下不受外界干扰,易使风力机保持在最大功率点运行,文中提出采用同步扰动随机逼近(SPSA)算法进行风力发电系统最大功率追踪。SPSA算法通过调节电源转换器的工作周期,间接控制风力发电机转速,使风力发电系统在任何风速下皆可运行在最大功率点,并避免实际运行时使用风力计和转速计。仿真结果表明,无论风速如何变化,SPSA算法能有效提高风力发电系统输出功率,并使叶尖速比和效能指数维持在最佳值附近。Simultaneous perturbation stochastic approximation （SPSA） algorithm is proposed for tracing the maximum power of wind power system. It aims to enable system to be free from outside interference under variable wind speeds, andto maintain wind turbine at the maximum power operating point. For SPSA algorithm, wind turbine speed is indirectly controlled through adjusting the duty cycle of the power converter, which will enable wind power system to operate at the maximum power point under any wind speed, and do not need tachometer and anemometer in practical application. As shown in the simulation results, no matter how the wind speed changes, SPSA algorithm can effectively improve the power output of wind power system, and maintain the tip speed ratio （TSR） and coefficient power （CP） at the neighborhood of the optimum value.

关 键 词：风力发电 同步扰动随机逼近(SPSA) 永磁同步发电机 电源转换器 最大功率追踪 

分 类 号：TM614[电气工程—电力系统及自动化]