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Variogram time-series analysis of wind speed

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)483-491
Number of pages9
JournalRenewable Energy
Volume99
DOIs
StatePublished - 1 Dec 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Autocorrelation
  • Change rate
  • Cross-correlation
  • Statistical properties
  • Variogram function
  • Wind speed

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