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Study of Time and Meteorological Characteristics of Wind Speed Correlation in Flat Terrains Based on Operation Data

Author

Listed:
  • Xiaojun Shen

    (Department of Electrical Engineering, Tongji University, Shanghai 200092, China)

  • Chongcheng Zhou

    (Department of Electrical Engineering, Tongji University, Shanghai 200092, China)

  • Xuejiao Fu

    (Department of Electrical Engineering, Tongji University, Shanghai 200092, China)

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.

Suggested Citation

  • Xiaojun Shen & Chongcheng Zhou & Xuejiao Fu, 2018. "Study of Time and Meteorological Characteristics of Wind Speed Correlation in Flat Terrains Based on Operation Data," Energies, MDPI, vol. 11(1), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:219-:d:127310
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    References listed on IDEAS

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    1. Sun, Can & Bie, Zhaohong & Xie, Min & Jiang, Jiangfeng, 2016. "Fuzzy copula model for wind speed correlation and its application in wind curtailment evaluation," Renewable Energy, Elsevier, vol. 93(C), pages 68-76.
    2. Chang, Tian-Pau & Liu, Feng-Jiao & Ko, Hong-Hsi & Huang, Ming-Chao, 2017. "Oscillation characteristic study of wind speed, global solar radiation and air temperature using wavelet analysis," Applied Energy, Elsevier, vol. 190(C), pages 650-657.
    3. Ye, Lin & Zhao, Yongning & Zeng, Cheng & Zhang, Cihang, 2017. "Short-term wind power prediction based on spatial model," Renewable Energy, Elsevier, vol. 101(C), pages 1067-1074.
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    Cited by:

    1. Xiaolu Chen & Ji Han & Tingting Zheng & Ping Zhang & Simo Duan & Shihong Miao, 2019. "A Vine-Copula Based Voltage State Assessment with Wind Power Integration," Energies, MDPI, vol. 12(10), pages 1-21, May.
    2. Xiaojun Shen & Chongchen Zhou & Guojie Li & Xuejiao Fu & Tek Tjing Lie, 2018. "Overview of Wind Parameters Sensing Methods and Framework of a Novel MCSPV Recombination Sensing Method for Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-23, July.

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