可再生能源2025，Vol.43Issue(3)：339-345,7.
基于MADM-QM的风电机组风功率异常数据处理方法
Wind speed-power abnormal data processing method of wind turbine based on MADM-QM
摘要
Abstract
Aiming at the problem that there are a large number of horizontal or vertical distribution outliers in the wind speed-power data collected by SCADA system when wind turbine is in abnormal operation,an abnormal data processing method based on median absolute deviation method(MADM)and quartile method(QM)is proposed to solve it,namely MADM-QM algorithm.Firstly,based on the relationship model of wind speed-pitch angle,the wind speed-pitch angle data outside of±4.5 MAD are discarded by solving the median absolute deviation(MAD)in the wind speed-pitch angle data set of the wind speed interval.Secondly,based on the wind speed-power relationship model,the abnormal values in the wind speed-power data set of the power interval are eliminated,and then the abnormal values in the wind speed-power data set of the wind speed interval are eliminated to complete the abnormal data processing.Finally,the actual operation data of wind turbine under complex working conditions of a wind farm are taken as examples for verification,and comparison with MADM,QM and density-based spatial clustering(DBSCAN)method.The results indicate that the proposed method can not only effectively identify abnormal data but also efficiently and stably clean them.Compared with the other three methods,to a certain extent,it proves that MADM-QM can achieve good efficiency of abnormal data processing and optimal cleaning quality on the abnormal data.关键词
风电机组/风功率/数据清洗/MADM-QM/SCADA数据Key words
wind turbine/wind speed-power/data cleaning/MADM-QM/SCADA data分类
能源科技引用本文复制引用
莫丰源,王卫华,郭前..基于MADM-QM的风电机组风功率异常数据处理方法[J].可再生能源,2025,43(3):339-345,7.基金项目
江苏省高等学校基础科学(自然科学)研究面上项目(23KJB510026). （自然科学）
