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Spatial and temporal correlation analysis of wind power between different provinces in China

Research output: Contribution to journalArticlepeer-review

Abstract

China has different topographic conditions and multiple weather systems due to its vast geographic areas. As a result, the geographic diversity between different provinces is potential to mitigate wind power variability. This study analyzes the spatial and temporal correlations of wind power on the province level. The results show that a lower correlation is observed for greater distances and smaller time scales. Correlation between different provinces is stronger than that between different wind farms within the same distance. The correlation coefficient of wind power decays more rapidly in China than in Europe and North America within the same distance. The correlation coefficients of wind power variation are generally smaller than the correlation coefficients of instantaneous wind power, and a positive linear relationship is observed between these coefficients. The temporal correlations of wind power between different provinces are analyzed as well. The time lags of wind power between different province pairs are obtained.

Original languageEnglish
Article number116514
JournalEnergy
Volume191
DOIs
StatePublished - 15 Jan 2020

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

  • Monte Carlo simulation
  • Province pairs
  • Spatial correlation
  • Temporal correlation
  • Wind power generation

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