可再生能源2018，Vol.36Issue(4)：580-585,6.
风电机组功率曲线建模方法对比研究
Comparative study of multiple power curve modelling methods
摘要
Abstract
Wind turbine power curve is an important performance index of the wind turbine, which represents the actual running state of the wind turbine unit.Accurate wind power curve can provide an important reference for the performance evaluation of wind turbines, wind power curve monitoring, wind power forecasting, and wind farm equivalent modeling and so on. Due to the large number of wind turbine units in large wind farms, it will be a tedious task to compare the wind turbine power curves of different units, different years and months when the wind farm is running for a long time. If the time-consuming power curve modeling method is used, a large amount of modeling time will be spent. In this paper, a time-saving kernel density estimation model is used to filter the normal operation data in the wind power concentration area, then five power curve fitting methods are adopted to fit the normal wind speed power data. The modeling accuracy and modeling efficiency of the five models are compared and analyzed.Modeling precision and efficiency comparison of the five models show that the polynomial fitting method is easy to understand, and it has the fast fitting speed with high precision. Polynomial fitting power curve model is more suitable for the actual work.关键词
风电机组/功率曲线建模/核密度估计Key words
wind turbine/power curve/kernel density estimation分类
能源科技引用本文复制引用
齐霞,安磊,张妍,李芬花,张浩,阎洁,韩爽,李莉..风电机组功率曲线建模方法对比研究[J].可再生能源,2018,36(4):580-585,6.基金项目
国网冀北电力有限公司经济技术研究院软课题资助项目. （）
