A Decomposition Algorithm for Optimal Control of Distributed Energy System

Leo Emil Sokoler, Kristian Edlund, Laura Standardi, John Bagterp Jørgensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publication2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)
Number of pages5
PublisherIEEE
Publication date2013
ISBN (Print)978-1-4799-2984-9
DOIs
Publication statusPublished - 2013
Event2013 4th IEEE PES Innovative Smart Grid Technologies Europe - Technical University of Denmark (DTU), Lyngby, Denmark
Duration: 6 Oct 20139 Oct 2013
Conference number: 4
http://www.ieee-isgt-2013.eu/

Conference

Conference2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number4
LocationTechnical University of Denmark (DTU)
CountryDenmark
CityLyngby
Period06/10/201309/10/2013
Internet address

Cite this

Sokoler, L. E., Edlund, K., Standardi, L., & Jørgensen, J. B. (2013). A Decomposition Algorithm for Optimal Control of Distributed Energy System. In 2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) IEEE. https://doi.org/10.1109/ISGTEurope.2013.6695248