Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5293
Title: Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois
Authors: Botterud,A
Zhou,Z
Wang,JH
Jean Sumaili
Keko,H
Mendes,J
Ricardo Jorge Bessa
Vladimiro Miranda
Issue Date: 2013
Abstract: In this paper, we analyze how demand dispatch combined with the use of probabilistic wind power forecasting can help accommodate large shares of wind power in electricity market operations. We model the operation of day-ahead and real-time electricity markets, which the system operator clears by centralized unit commitment and economic dispatch. We use probabilistic wind power forecasting to estimate dynamic operating reserve requirements, based on the level of uncertainty in the forecast. At the same time, we represent price responsive demand as a dispatchable resource, which adds flexibility in the system operation. In a case study of the power system in Illinois, we find that both demand dispatch and probabilistic wind power forecasting can contribute to efficient operation of electricity markets with large shares of wind power.
URI: http://repositorio.inesctec.pt/handle/123456789/5293
http://dx.doi.org/10.1109/tste.2012.2215631
metadata.dc.type: article
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