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
Link To Document :
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