基于离散度分析的风电机组功率曲线绘制方法研究
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  • 英文篇名:RESEARCH ON WIND TURBINE POWER CURVE DRAWING METHOD BASED ON DISCRETE DEGREE ANALYSIS
  • 作者:李航涛 ; 郭鹏 ; 杨锡运
  • 英文作者:Li Hangtao;Guo Peng;Yang Xiyun;College of Control and Computer Engineering,North China Electric Power University;
  • 关键词:离散度 ; 处理数据 ; 功率曲线 ; 风电机组
  • 英文关键词:dispersion data;;data processing;;power curve;;wind turbines
  • 中文刊名:TYLX
  • 英文刊名:Acta Energiae Solaris Sinica
  • 机构:华北电力大学控制与计算机工程学院;
  • 出版日期:2019-01-28
  • 出版单位:太阳能学报
  • 年:2019
  • 期:v.40
  • 基金:中央高校基本科研业务费(2015MS25);; 国家自然科学基金面上项目(51677067)
  • 语种:中文;
  • 页:TYLX201901034
  • 页数:5
  • CN:01
  • ISSN:11-2082/TK
  • 分类号:243-247
摘要
基于IEC 61400-12-1国际标准提出一种基于概率和离散度的数据处理法。该方法依据风速-功率数据对在坐标系内的分布状态,采用完全纵向滤波和分段滤波对运行数据中的异常点进行去除,保留更为符合机组实际出力特性的数据主带,从而使绘制出的功率曲线更为精确。该方法可克服以往人工去除异常点费时费力,标准不统一的缺点,并以某风电场风电机组的实际运行数据为例对方法的有效性进行验证。
        A data processing method based on probability and dispersion is proposed depended on the IEC 61400-12-1 international standard. According to the distribution characteristics of the wind speed-power data points in the coordinate system,the complete vertical filtering method and the segment filtering method are used to remove the abnormal data points from the raw operating data. And the normal data points which can reflect the wind turbine power output characteristics form the main band and are used to draw the power curve with high accuracy. The power curve drawing method proposed in this paper overcomes the drawbacks of the manual removal of abnormal data points which lacks uniform standard and is time consuming. The effectiveness of the method is verified with the actual operating data of a wind farm.
引文
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