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Network planning in smart grids via a local search heuristic for spanning forest problems
IMT School for Advanced Studies Lucca.
IRIDIA, CODE, Universite Libre de Bruxelles.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
2017 (English)In: 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, 1212-1218 p., 8001418Conference paper, Published paper (Refereed)
Abstract [en]

Smart grids are automated, distributed energy exchange networks that, in contrast to traditional electricity grids, feature reconfigurable network topologies. Network planning is an essential function of smart grids that connects customers to energy sources using available physical links in the network. We model this as the problem of creating a spanning forest with a capacity constraint on each tree bounding its total weight. Each tree of the forest corresponds to a set of customers, rooted at a source. We call this the Capacitated Spanning Forest (CSF) problem. CSF is NP-complete even on unweighted graphs with two sources. We present a solution to this problem using a Local Search heuristic and demonstrate its performance on square grids and on a real-world sample grid topology.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. 1212-1218 p., 8001418
National Category
Computer Science
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-65704DOI: 10.1109/ISIE.2017.8001418Scopus ID: 2-s2.0-85029895115ISBN: 978-1-5090-1412-5 (electronic)OAI: oai:DiVA.org:ltu-65704DiVA: diva2:1142086
Conference
26th International Symposium on Industrial Electronics (ISIE), Edinburgh, 19-21 June 2017
Available from: 2017-09-18 Created: 2017-09-18 Last updated: 2017-11-24Bibliographically approved

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Citation style
  • apa
  • harvard1
  • ieee
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  • nn-NB
  • sv-SE
  • Other locale
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  • asciidoc
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