综合智慧能源2025，Vol.47Issue(3)：84-91,8.DOI:10.3969/j.issn.2097-0706.2025.03.008
基于密度修正的风电功率曲线线性拟合模型
Linear fitting model for wind power curves based on density correction
摘要
Abstract
To address the issue that traditional wind power curve models fail to fully consider the effect of meteorological factors,resulting in reduced model accuracy,a new linear fitting model for wind power curves named LI-DASW is proposed with the inclusion of density correction.A calculation model for air density was developed based on meteorological factors such as temperature,pressure,and humidity,as well as a density-corrected wind speed strategy.It reflected the effect of meteorological changes on the wind power curve while maintaining the model's single-input and single-output characteristics.The original dataset was replaced with the first moment to reduce redundant calculations and improve modeling efficiency.A linear interpolation model was constructed using the first moment as interpolation points,effectively avoiding the Runge's phenomenon caused by higher-order polynomial fitting and enhancing the model's adaptability.The case study analysis results of two wind farms demonstrated that the LI-DASW model significantly outperformed traditional methods.Compared to the Bin method,the model's root mean square error(RMSE)reduced by 14.42%and 10.16%,and the mean absolute error(MAE)decreased by 15.63%and 9.48%,respectively.Compared to the polynomial method,the RMSE decreased by 20.33%and 7.66%,and the MAE improved by 18.15%and 8.06%.Compared to the linear interpolation method,the reductions in RMSE and MAE remained stable between 6.19%to 7.37%.Additionally,the modeling efficiency improved by over 84.81%compared to the polynomial model.关键词
风电/功率曲线/线性拟合模型/气象因素/密度修正风速策略/一阶矩/线性插值Key words
wind power/power curve/linear fitting model/meteorological factors/density-corrected wind speed strategy/first moment/linear interpolation分类
能源科技引用本文复制引用
朱东杰,吕昆烨,宋长虹,江美慧,李枝玖..基于密度修正的风电功率曲线线性拟合模型[J].综合智慧能源,2025,47(3):84-91,8.基金项目
国家自然科学基金项目(52107083) （52107083）
广西科技重大专项(AA22068071)National Natural Science Foundation of China(52107083) （AA22068071）
Guangxi Science and Technology Major Project(AA22068071) （AA22068071）
