New tool for integration of wind power forecasting into power system operation

Andrej F. Gubina, Andrew Keane, Peter Meibom, Jonathan O'Sullivan, Oisin Goulding, Tom McCartan, Mark O'Malley

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    The paper describes the methodology that has been developed for transmission system operators (TSOs) of Republic of Ireland, Eirgrid, and Northern Ireland, SONI the TSO in Northern Ireland, to study the effects of advanced wind power forecasting on optimal short-term power system scheduling. The resulting schedules take into account the electricity market conditions and feature optimal reserve scheduling. The short-term wind power prediction is provided by the Anemos tool, and the scheduling function, including the reserve optimisation, by the Wilmar tool. The proposed methodology allows for evaluation of the impacts that different types of wind energy forecasts (stochastic vs. deterministic vs. perfect) have on the schedules, and how the new incoming information via in-day scheduling impacts the quality of the schedules. Within the methodology, metrics to assess the quality of the schedules is proposed, including the costs, reliability and cycling. The resulting schedules are compared to the Day-ahead and In-day results of the existing scheduling methodology, reserve constrained unit commitment (RCUC), with the historical data used as the input for calibration.
    Original languageEnglish
    Title of host publicationPowerTech, 2009 IEEE Bucharest
    Publication date2009
    ISBN (Print)978-1-4244-2235-7
    Publication statusPublished - 2009
    Event2009 IEEE Bucharest PowerTech Conference - Bucharest, Romania
    Duration: 28 Jun 20092 Jul 2009


    Conference2009 IEEE Bucharest PowerTech Conference
    Internet address


    • Climate and energy systems
    • Energy systems analysis

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