微型电脑应用2023，Vol.39Issue(12)：147-150,4.
基于数据筛选及平滑处理的风电功率曲线建模方法研究
Research on the Wind Power Curve Modeling Method Based on Data Screening and Smoothing Processing
杜强1
作者信息
- 1. 中广核新能源安徽有限公司,安徽,合肥 230000
- 折叠
摘要
Abstract
Wind power curve is an important indicator to reflect the performance and evaluate the generating capacity of the wind turbine,but the wind power at the same wind speed tends to fluctuate in a wide range,and it brings great difficult to the mod-eling of wind power curve.Aiming at the problem that the precision of traditional method is not ideal,a new modeling method of wind power curve is proposed.It filters the data by kernel density estimation method.It smooths the input wind speed by time series smoothing method.The wavelet neural network is used to model the nonlinear mapping power curve of wind speed power.Through the comparative analysis of modeling example,the results show that the method has good advantages and higher modeling accuracy.关键词
风电机组/功率曲线建模/数据筛选/核密度估计/最优平滑阶数/小波神经网络Key words
wind turbine/power curve modeling/data screening/kernel density estimation/optimal smoothing order/wavelet neural network分类
信息技术与安全科学引用本文复制引用
杜强..基于数据筛选及平滑处理的风电功率曲线建模方法研究[J].微型电脑应用,2023,39(12):147-150,4.
