A Decomposition Algorithm for Optimal Control of Distributed Energy System

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

doi:10.1109/ISGTEurope.2013.6695248

A Decomposition Algorithm for Optimal Control of Distributed Energy System

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

Ørsted A/S

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)
Number of pages	5
Publisher	IEEE
Publication date	2013
ISBN (Print)	978-1-4799-2984-9
DOIs	https://doi.org/10.1109/ISGTEurope.2013.6695248
Publication status	Published - 2013
Event	2013 4th IEEE PES Innovative Smart Grid Technologies Europe - Technical University of Denmark (DTU), Lyngby, Denmark Duration: 6 Oct 2013 → 9 Oct 2013 Conference number: 4 http://www.ieee-isgt-2013.eu/

Conference

Conference	2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number	4
Location	Technical University of Denmark (DTU)
Country/Territory	Denmark
City	Lyngby
Period	06/10/2013 → 09/10/2013
Internet address	http://www.ieee-isgt-2013.eu/

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10.1109/ISGTEurope.2013.6695248

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title = "A Decomposition Algorithm for Optimal Control of Distributed Energy System",

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.",

author = "Sokoler, {Leo Emil} and Kristian Edlund and Laura Standardi and J{\o}rgensen, {John Bagterp}",

year = "2013",

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booktitle = "2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)",

publisher = "IEEE",

address = "United States",

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AU - Sokoler, Leo Emil

AU - Edlund, Kristian

AU - Standardi, Laura

AU - Jørgensen, John Bagterp

N1 - Conference code: 4

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1109/ISGTEurope.2013.6695248

DO - 10.1109/ISGTEurope.2013.6695248

M3 - Article in proceedings

SN - 978-1-4799-2984-9

BT - 2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

PB - IEEE

T2 - 2013 4th IEEE PES Innovative Smart Grid Technologies Europe

Y2 - 6 October 2013 through 9 October 2013

ER -

A Decomposition Algorithm for Optimal Control of Distributed Energy System

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