DocumentCode :
662364
Title :
A decomposition algorithm for optimal control of distributed energy system
Author :
Sokoler, Leo Emil ; Edlund, K. ; Standardi, Laura ; Jorgensen, John Bagterp
Author_Institution :
DONG Energy, Gentofte, Denmark
fYear :
2013
fDate :
6-9 Oct. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In economic model predictive control of distributed energy systems, the constrained optimal control problem can be expressed as a linear program with a block-angular structure. In this paper, we present an efficient Dantzig-Wolfe decomposition algorithm specifically tailored to problems of this type. Simulations show that a MATLAB implementation of the algorithm is significantly faster than several state-of-the-art linear programming solvers and that it scales in a favorable way.
Keywords :
distributed power generation; linear programming; optimal control; predictive control; Dantzig-Wolfe decomposition algorithm; MATLAB implementation; block-angular structure; constrained optimal control problem; decomposition algorithm; distributed energy system; economic model predictive control; linear program; linear programming solvers; Economics; Fuels; Optimal control; Optimization; Power generation; Predictive control; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
Type :
conf
DOI :
10.1109/ISGTEurope.2013.6695248
Filename :
6695248
Link To Document :
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