Potential capacity factor estimates of wind generating resources for transmission planning

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Wind Generating Resources (WGRs) are variable, uncontrollable, and uncertain compared to traditional generating resources. As Wind Generating Resources (WGRs) have the intermittent nature of WGRs and uncertain characteristics according to the weather condition, the accurate prediction of WGRs' capacity factor is an essential factor associated with integrating a large amount of wind generating resources into the grid. As wind farm outputs depend on natural wind resources that vary over space and time, spatial correlation analysis is also needed to estimate power outputs of wind generation resources. In this paper, we propose the potential capacity factor estimates of new wind generating resources using the augmented spatial analysis and modelling of power outputs produced by wind farms that are geographically distributed in windy areas. To validate the proposed spatial prediction model, we use the empirical data from the Jeju Island's wind farms in South Korea.

Original languageEnglish
Pages (from-to)1742-1750
Number of pages9
JournalRenewable Energy
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd


  • Augmented spatial modelling
  • Potential capacity factor
  • Transmission planning
  • Universal kriging
  • Wind generating resources


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