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Distributed optimization for structured programs and its application to energy management in a building district

Abstract:

This paper deals with structured multi-agent optimization problems that involve coupled local and global decision variables. We propose an iterative distributed algorithm that explicitly accounts for this structure, and requires the agents to communicate only their tentative solutions for the global variables throughout iterations. Our approach extends to structured multi-agent optimization a proximal-based distributed methodology that has recently appeared in the literature. Privacy of local...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jprocont.2020.03.005

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/P03277X/1
Publisher:
Elsevier
Journal:
Journal of Process Control More from this journal
Volume:
89
Pages:
11-21
Publication date:
2020-03-20
Acceptance date:
2020-03-15
DOI:
ISSN:
0959-1524
Language:
English
Keywords:
Pubs id:
1093851
Local pid:
pubs:1093851
Deposit date:
2020-03-16

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