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Abstract
This paper presents a network management approach formalised as a Distributed Constraint Optimization (DCOP) problem, in particular power flow management. In DCOP, a group of distributed agents work to assign variables' values that optimise a set of constraints applied to the variables. This provides a way to optimise a global function through message-passing between asynchronous agents, with certain performance guarantees. Max-sum algorithm, a message passing algorithm will be applied as it is the state of the art for solving DCOP problems. Max-sum algorithm gives a sufficiently good approximate solution which tends to reach optimality but with less computation and communication. To apply the max-sum algorithm the network model will be decomposed as a factor graph which maps directly onto it.
Original language | English |
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Title of host publication | 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) |
Place of Publication | Piscataway, NJ. |
Publisher | IEEE |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Print) | 9781479929849 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 4th IEEE/PES Innovative Smart Grid Technologies (ISGT Europe) - Copenhagen, Denmark Duration: 6 Oct 2013 → 9 Oct 2013 |
Conference
Conference | 2013 4th IEEE/PES Innovative Smart Grid Technologies (ISGT Europe) |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 6/10/13 → 9/10/13 |
Keywords
- artificial intelligence
- DCOP
- factor graphs
- max-sum algorithms
- power flow management
- active network management
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Dive into the research topics of 'Distributed constraint optimisation for flexible network management'. Together they form a unique fingerprint.Projects
- 1 Finished
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EPSRC Energy Networks Grand Challenge - Autonomic Power System
McArthur, S. (Principal Investigator), Ault, G. (Co-investigator) & Kockar, I. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/11 → 31/10/16
Project: Research