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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  • Cite this

    Kiviluoma, J., Holttinen, H., Scharff, R., Weir, D. E., Cutululis, N., Litong-Palima, M., & Milligan, M. (2014). Index for wind power variability. In 13th Wind Integration Workshop proceedings Energynautics GmbH.