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

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Title: New tool for integration of wind power forecasting into power system operation
Authors: Gubina, Andrej F.
Keane, Andrew
Meibom, Peter
O'Sullivan, Jonathan
Goulding, Oisin
McCartan, Tom
O'Malley, Mark
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Date: Jun-2009
Abstract: 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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2009 IEEE
Keywords: ForecastingPower generating schedulingReserve optimizationStochastic schedulingWind power
Subject LCSH: Wind power
Electric power production--Ireland
Electric power production--Northern Ireland
Stochastic systems
Production scheduling
DOI: 10.1109/PTC.2009.5281936
Language: en
Status of Item: Not peer reviewed
Is part of: IEEE Bucharest PowerTech, 2009 [proceedings]
Conference Details: Paper presented at the IEEE PowerTech 2009 conference, Bucharest, June 28 2009-July 2 2009
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection

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