Index for wind power variability

Juha Kiviluoma, Hannele Holttinen, richard Scharff, David Edward Weir, Nicolaos Cutululis, Marisciel Litong-Palima, Michael Milligan

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

Variability of large scale wind power generation is dependent on several factors: characteristics of installed wind power plants, size of the area where the plants are installed, geographic dispersion within that area and its weather regime(s). Variability can be described by ramps in power generation, i.e. changes from time period to time period. Given enough data points, it can be described with a probability density function. This approach focuses on two dimensions of variability: duration of the ramp and probability distribution. This paper proposes an index based on these two dimensions to enable comparisons and characterizations of variability under different conditions. The index is tested with real, large scale wind power generation data from several countries. Considerations while forming an index are discussed, as well as the main results regarding what the drivers of variability experienced for different data.
Original languageEnglish
Title of host publication13th Wind Integration Workshop proceedings
PublisherEnergynautics GmbH
ISBN (Print)978-3-98 13870-9-4
Publication statusPublished - 2014
MoE publication typeB3 Non-refereed article in conference proceedings
Event13th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Farms, WIW 2014 - Berlin, Germany
Duration: 11 Nov 201413 Nov 2014

Conference

Conference13th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Farms, WIW 2014
Abbreviated titleWIW 2014
CountryGermany
CityBerlin
Period11/11/1413/11/14

Keywords

  • wind power integration
  • variations
  • indices for variability
  • variable renewable energy sources

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