电测与仪表2025，Vol.62Issue(3)：112-120,9.DOI:10.19753/j.issn1001-1390.2025.03.014
基于Logistic函数与分位数回归的风电机组功率曲线建模方法
Wind turbine power curve modeling method with Logistic functions based on quantile regression
摘要
Abstract
The wind turbine power curve(WTPC)modeling is of great significance for wind power forecasting,condition monitoring,and performance assessment.This paper proposes a novel WTPC modelling method with lo-gistic functions based on quantile regression(QRLF).Quantile regression logistic functions(QRLF)is embedded in the logistic function,and the QRLF model was established,so that the proposed method can describe the uncer-tainty of wind power.In order to reduce the effect of outliers in original data,an adaptive outlier filtering method is developed based on QRLF.Supervisory control and data acquisition(SCADA)data collected from wind turbines in three wind farms are used to evaluate the performance of the proposed method.Five evaluation metrics are applied for the comparative analysis.Compared with typical WTPC models,QRLF has better fitting performance in both de-terministic and probabilistic power curve modeling.关键词
logistic函数/分位数回归/异常筛选/风电机组功率曲线Key words
logistic function/quantile regression/outlier filtering/wind turbine power curve分类
信息技术与安全科学引用本文复制引用
王勃,孙勇,李振元,王铮,荆博..基于Logistic函数与分位数回归的风电机组功率曲线建模方法[J].电测与仪表,2025,62(3):112-120,9.基金项目
国家电网有限公司科技项目(5100-201929190A-0-0-00) （5100-201929190A-0-0-00）
