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.
| Original language | English |
|---|---|
| Pages (from-to) | 483-491 |
| Number of pages | 9 |
| Journal | Renewable Energy |
| Volume | 99 |
| DOIs | |
| State | Published - 1 Dec 2016 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Autocorrelation
- Change rate
- Cross-correlation
- Statistical properties
- Variogram function
- Wind speed
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