Statistical characterization of wind power ramps via extreme value analysis

David Ganger, Junshan Zhang, Vijay Vittal

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


Extreme power fluctuations in wind farms are rare but high-impact events, so proper characterization of these extreme fluctuations would assist with power systems operations planning in a power system with a high penetration of wind power. This work applies extreme value analysis methods to the statistical characterization of wind power ramps with 10-min resolution. The annual maxima series (AMS) method and peaks over threshold (POT) method are used to determine the probability of extreme wind power ramp events in a wind farm.

Original languageEnglish (US)
Article number6786040
Pages (from-to)3118-3119
Number of pages2
JournalIEEE Transactions on Power Systems
Issue number6
StatePublished - Nov 1 2014


  • Extreme events
  • extreme value analysis
  • ramp events
  • statistical analysis
  • wind energy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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