电工技术学报2017，Vol.32Issue(16)：265-274,10.DOI:10.19595/j.cnki.1000-6753.tces.161443
基于运行数据的风电机组间风速相关性统计分析
Statistical Analysis of Wind Speed Correlation between Wind Turbines Based on Operational Data
摘要
Abstract
Statistical analysis for wind speed correlation (WSC) between wind turbines has guiding significance to wind farm equivalence modeling, wind velocity/power prediction and wind farm cluster control optimization. In view of the situation that the research for WSC analysis is rarely carried out, a method that sets power output for tuning index is proposed for wind turbines data cleaning and tuning in this paper. Then based on the theory of Copula function, the calculation method for WSC coefficient between wind turbines has been established. Finally, the case study is carried out based on the operation data of a wind farm in Zhangbei area. The statistical analysis results show that the data cleaning and turning method presented in the paper, which can effectively eliminate the influence of abnormal data and significantly improve the quality of the basic data for WSC analysis;and the WSC coefficient between the same wind turbine have major variability under different time scale, wind velocity and wind direction, the correlation of this case can up to 0.96 and the minimum is reduced to 0.55 in the studied case. The time variation and difference of WSC coefficient between wind turbines have a great influence on the accuracy of equivalent modeling of wind farm and wind velocity/power based on WSC coefficient.关键词
风电机组/风速相关性/Copula函数/统计计算Key words
Wind turbines/wind speed correlation/Copula function/statistical calculation分类
信息技术与安全科学引用本文复制引用
沈小军,周冲成,吕洪..基于运行数据的风电机组间风速相关性统计分析[J].电工技术学报,2017,32(16):265-274,10.基金项目
中央高校基本业务经费资助项目(0800219312). （0800219312）
