Variogram time-series analysis of wind speed

Jinfu Liu, Guorui Ren, Jie Wan, Yufeng Guo and Daren Yu

Renewable Energy, 2016, vol. 99, issue C, 483-491

Abstract: Fluctuations of wind-power production are a significant hindrance to its high penetration in power systems. System operators have to provide complementary power and relevant control strategies to smooth out the fluctuations when large-scale wind power ones is injected into the grid. To better smooth the fluctuations, the change rate of the wind speed is a critical piece of information. In this study, the variogram function is introduced to measure the change rate of the wind speed. Based on the variogram time-series, some statistical analyses are conducted. These results contribute to a better understanding of the characteristics of the change rate of the wind speed, such as the chronological variation pattern of the change rate on a day, whether the future change rate can be forecasted, and whether there is a relationship between the change rate and wind speed.

Keywords: Change rate; Wind speed; Variogram function; Statistical properties; Autocorrelation; Cross-correlation (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:99:y:2016:i:c:p:483-491

DOI: 10.1016/j.renene.2016.07.013

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