DocumentCode
2915560
Title
Control of electric power transmission networks with massive energy storage using economic MPC
Author
Adeodu, Oluwasanmi ; Chmielewski, Daniel J.
Author_Institution
Dept. of Chem. & Biol. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
5839
Lastpage
5844
Abstract
The classic approach to generator dispatch in large scale power generation and distribution systems (under regulated markets) is the Unit Commitment (UC) problem. As renewable power sources (that cannot be dispatched) are added to the network many have advocated the additional introduction of massive energy storage facilities. However, the inherent dynamic nature of energy storage suggests an expanded view of the classic UC operating policy. In this work, the notion of Economic Model Predictive Control (EMPC) is investigated as a generalization of the classic UC policy. Of particular interest is the selection of EMPC prediction horizon size and its impact on storage utilization.
Keywords
energy storage; power generation control; power generation dispatch; power transmission control; predictive control; renewable energy sources; EMPC prediction horizon size; UC operating policy; economic MPC; economic model predictive control; electric power transmission network control; energy storage facility; generator dispatching; power distribution system; power generation system; renewable power source; storage utilization; unit commitment problem; Coal; Correlation; Energy storage; Generators; Load modeling; Wind forecasting; Wind power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580753
Filename
6580753
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