A Statistical Method for Aggregated Wind Power Plants to Provide Secondary Frequency Control

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    Abstract

    The increasing penetration of wind power brings significant challenges to power system operators due to the wind’s inherent uncertainty and variability. Traditionally, power plants and more recently demand response have been used to balance the power system. However, the use of wind power as a balancing-power source has also been investigated, especially for wind power dominated power systems such as Denmark. The main drawback is that wind power must be curtailed by setting a lower operating point, in order to offer upward regulation. We propose a statistical approach to reduce wind power curtailment for aggregated wind power plants providing secondary frequency control (SFC) to the power system. By using historical SFC signals and wind speed data, we calculate metrics for the reserve provision error as a function of the scheduled wind power. We show that wind curtailment can be significantly reduced compared to a robust and conservative scheduling, by appropriately choosing a higher operating point based on the error’s expected value and the service error requirement.
    Original languageEnglish
    Title of host publicationProceedings of 16th Wind Integration Workshop
    Number of pages5
    PublisherIEEE
    Publication date2017
    Publication statusPublished - 2017
    Event16th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants - Berlin, Germany
    Duration: 25 Oct 201727 Oct 2017

    Conference

    Conference16th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants
    Country/TerritoryGermany
    CityBerlin
    Period25/10/201727/10/2017

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