Argonne National Laboratory

Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois

TitleDemand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois
Publication TypeJournal Article
Year of Publication2012
AuthorsBotterud, A, Zhou, Z, Wang, J, Sumaili, J, Keko, H, Mendes, J, Bessa, RJ, Miranda, V
JournalIEEE Transactions on Sustainable Energy
Volume4
Start Page250
Issue1
Pagination11
Date Published10092012
ISSN1949-3029
Keywordsdemand dispatch, dynamic operating reserves, economic dispatch, electricity markets, probabilistic forecasts, unit commitment, wind power
AbstractIn 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.
DOI10.1109/TSTE.2012.2215631