Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of Illinois

Summary form only given. 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 syste...

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Bibliographic Details
Published in2013 IEEE Power & Energy Society General Meeting p. 1
Main Authors Botterud, Audun, Zhi Zhou, Jianhui Wang, Sumaili, Jean, Keko, Hrvoje, Mendes, Joana, Bessa, Ricardo, Miranda, Vladimiro
Format Conference Proceeding
LanguageEnglish
Published IEEE 2013
Subjects
Economics
Electricity supply industry
Forecasting
Laboratories
Probabilistic logic
Real-time systems
Wind power generation
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Summary:Summary form only given. 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.
ISSN:1932-5517
DOI:10.1109/PESMG.2013.6672914