电力系统自动化2016，Vol.40Issue(10)：116-121,6.DOI:10.7500/AEPS20151014003
基于功率曲线的风电机组数据清洗算法
Wind Turbine Data-cleaning Algorithm Based on Power Curve
摘要
Abstract
In view of inefficient analysis process for wind turbine performance,inaccurate data cleaning and hard to identifying of wind power generation status,a data cleaning algorithm is put forward to analyze the wind turbines power curve.Through the analysis of the wind power curve data collected by supervisory control and data acquisition (SCADA) system,the optimal interclass variance algorithm is proposed to identify the poor performance status accurately with optimizing data processing rules and analysis approach.The detection tools and data dimension are not the obstacles of power curve analysis.Example analysis shows that the method is practical and efficient,and can accurately clean wind turbines power curve data and identify abnormal status performance under the premise of no increase in the hardware equipment investment,while significantly improving the wind turbines performance analysis accuracy.关键词
风电机组/功率曲线/数据处理/状态检测Key words
wind turbine/power curve/data processing/status detection引用本文复制引用
娄建楼,胥佳,陆恒,曲朝阳,李韶武,刘瑞华..基于功率曲线的风电机组数据清洗算法[J].电力系统自动化,2016,40(10):116-121,6.基金项目
吉林省科技发展计划资助项目(20150204084GX)。 （20150204084GX）
