Distributed MPC Via Dual Decomposition

B. Biegel*, J. Stoustrup, Palle Andersen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

13 Citations (Scopus)

Abstract

This chapter presents dual decomposition as a means to coordinate a number of subsystems coupled by state and input constraints. Each subsystem is equipped with a local model predictive controller while a centralized entity manages the subsystems via prices associated with the coupling constraints. This allows coordination of all the subsystems without the need of sharing local dynamics, objectives and constraints. To illustrate this, an example is included where dual decomposition is used to resolve power grid congestion in a distributed manner among a number of players coupled by distribution grid constraints.

Original languageEnglish
Title of host publicationDistributed Model Predictive Control Made Easy
EditorsJosé M. Maestre, Rudy R. Negenborn
Number of pages14
Volume69
Place of PublicationNetherlands
PublisherSpringer VS
Publication date1 Jan 2014
Pages179-192
ISBN (Print)978-94-007-7005-8
ISBN (Electronic)978-94-007-7006-5
DOIs
Publication statusPublished - 1 Jan 2014
SeriesIntelligent Systems, Control and Automation: Science and Engineering
Volume69
ISSN2213-8986

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