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1.5 kW风力发电机功率测试系统
引用本文:贺玲丽,安琪,汪建文,张立茹,谢妍.1.5 kW风力发电机功率测试系统[J].排灌机械工程学报,2019,37(12):1056-1060.
作者姓名:贺玲丽  安琪  汪建文  张立茹  谢妍
作者单位:1. 内蒙古工业大学, 内蒙古 呼和浩特 010051; 2. 内蒙古工业大学风能太阳能利用技术教育部重点实验室, 内蒙古 呼和浩特 010051
基金项目:国家自然科学基金资助项目(51666014);内蒙古自然科学基金资助项目(2015MS0507)
摘    要:利用激光雷达测风仪对风力发电机安装环境进行测试,设计并搭建适用于野外试验的小型风力发电机功率测试平台.分析采集的风环境数据,对试验场地进行风环境评价.通过监测离网型风力发电机在野外的运行状态,对采集的风力发电机输出功率及对应的来流风速和风向数据进行筛选整合,绘制风力发电机实际风速-功率曲线,采用最小二乘法拟合输出功率特性曲线.结果表明:设计搭建的野外风力发电机功率测试平台可对实际运行风力发电机输出功率进行监测,也可用于风洞试验测量;利用激光雷达测风仪对风环境进行监测,可作用于风力发电机安装方向和安装高度的选择;利用风力发电机的风速-功率理论曲线进行发电功率预测会产生较大误差;采用拟合的6次多项式曲线进行风力发电机功率计算,结果更加精确.文中所得实际测量数据可为风力发电机野外测试提供参考.

关 键 词:风力发电机  野外测试  功率特性曲线  最小二乘法  实时监测  
收稿时间:2018-02-07

Power test system of 1. 5 kW wind turbine
HE Lingli,AN Qi,WANG Jianwen,ZHANG Liru,XIE Yan.Power test system of 1. 5 kW wind turbine[J].Journal of Drainage and Irrigation Machinery Engineering,2019,37(12):1056-1060.
Authors:HE Lingli  AN Qi  WANG Jianwen  ZHANG Liru  XIE Yan
Institution:1. Inner Mongolia University of Technology, Hohhot, Inner Mongolia 010051, China; 2. Key Laboratory of Wind Energy and Solar Energy Technology of the Ministry of Education, Inner Mongolia University of Technology, Hohhot, Inner Mongolia 010051, China
Abstract:The installation environment of wind turbine was tested by using lidar wind meter,and the power test platform of small wind generator was designed and built for field test. The collected wind environment data were analyzed and the wind environment of the test site was evaluated. By monitoring the operating state of off-grid wind power generator in the field,the actual output power,and the wind speed and wind direction data were measured synchronously,and the actual wind speed-power curve of wind turbine was fitted by the least square method. The results show that the laser radar wind meter can provide a selection basis for the installation of the wind turbine,and the prediction of the output power of the wind turbine in the high wind speed region by using the theoretical curve of wind speed and po-wer will cause great errors. Using lidar to monitor the wind environment can select the direction and height of wind turbine installation. It is more accurate to predict the output power of wind turbine by using the sixth degree polynomial curve fitted by the least square method. The actual measurement data obtained can provide a reference for the field test of wind turbine.
Keywords:wind power generator  field test  power characteristic curve  least square method  real-time monitoring
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