Abstract
The accurate calculation and characteristic analysis of wind speed correlation (WSC) is the basis of wind farm equivalent modeling, wind power prediction and other advanced applications. It is well known that the accurate calculation of WSC depends on the quality of the raw data, and the WSC of wind turbines is related to spatial, time and meteorological conditions. However, the researches on the statistical analysis of time/meteorological WSC characteristics and the original data quality improvement for WSC calculation are rarely carried out. This paper reviews and redefines the concept and connotation of spatial, time and meteorological WSC. On this basis, a general process is proposed for WSC calculation including data classification, extraction and cleaning. Then the WSC characteristics between wind turbines are analyzed from time and meteorological dimensions based on the actual operation data. In addition, the influence of time WSC and meteorological WSC on wind turbine equivalent modeling and wind power prediction was discussed. The results of case study shows that the proposed general WSC calculation process is feasible and effective; the WSC for different time scales, wind speed ranges and wind directions varies greatly; the spatial WSC cannot characterize the time variability and directionality of the WSC. And the time and meteorological WSC characteristics are of great engineering value to improve the wind turbine equivalent modeling and wind power prediction accuracy, the influence of time scale and meteorological conditions should be considered in the applications of WSC.
Highlights
With the rapid development of wind power technology, wind energy has been widely used in the world as a type of renewable energy that is environment-friendly and abundant as well, but its intrinsic properties such as uncertainty and random volatility have brought great challenges to the security and stability of the power system [1,2]
The statistical analysis of time and meteorological wind speed correlation (WSC) between wind turbines of a wind farm in Zhangbei wind power base suggests that the WSC has the following characteristics: in Zhangbei wind power base suggests that the WSC has the following characteristics:
The proposed WSC calculation process is proved to be effective in correlation calculation for wind speed spatial, time and meteorological correlation between the wind turbines
Summary
With the rapid development of wind power technology, wind energy has been widely used in the world as a type of renewable energy that is environment-friendly and abundant as well, but its intrinsic properties such as uncertainty and random volatility have brought great challenges to the security and stability of the power system [1,2]. The study of WSC is helpful to analyze the power generation output correlation, and of great significance for the equivalent modeling of wind farms, wind power prediction, and wind farm cluster control. This can effectively reduce the uncertainty and ambiguity of wind power output and improve the safety and stability of power grid operation [4,5,6,7]. Data samples of spatial adjacent wind turbines in flat terrain are selected for statistical analysis of WSC distribution characteristics under different time scales, wind speeds and wind directions. This work could supply reference for WSC calculation and its advanced applications
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