Title :
Wind power forecasting, unit commitment, and electricity market operations
Author :
Botterud, A. ; Zhou, Z. ; Wang, J. ; Bessa, R.J. ; Keko, H. ; Sumaili, J. ; Miranda, V.
Author_Institution :
Decision & Inf. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
Abstract :
In this paper we discuss the use of wind power forecasting in electricity market operations. In particular, we demonstrate how probabilistic forecasts can contribute to address the uncertainty and variability in wind power. We focus on efficient use of forecasts in the unit commitment problem and discuss potential implications for electricity market operations.
Keywords :
load forecasting; power generation dispatch; power generation scheduling; power markets; wind power; electricity market operations; unit commitment; wind power forecasting; Educational institutions; Electricity supply industry; Forecasting; Power systems; Probabilistic logic; Wind forecasting; Wind power generation; Wind power; electricity markets; operating reserves; probabilistic forecasts; unit commitment;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039192
