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Network planning and self-repair in models of urban distribution networks via Hill Climbing
IMT School for Advanced Studies Lucca.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Department of Electrical Engineering and Automation, Aalto University.ORCID-id: 0000-0002-9315-9920
2017 (engelsk)Inngår i: Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 5477-5482Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Network Planning and Fault Location, Isolation and Supply Restoration (FLISR) are important functions of power distribution automation systems. We model these functions as a combinatorial optimization graph problem called the Capacitated Spanning Forest Problem (CSF), defined as the problem of creating a spanning forest with a capacity constraint on each tree bounding its total weight. We present an algorithm based on a Hill Climbing heuristic for the solution of CSF that can be used to solve network planning and supply restoration scenarios on large graphs representing smart grids.

sted, utgiver, år, opplag, sider
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. s. 5477-5482
Serie
IEEE Industrial Electronics Society, ISSN 1553-572X
HSV kategori
Forskningsprogram
Kommunikations- och beräkningssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-68270DOI: 10.1109/IECON.2017.8216948ISI: 000427164805067Scopus ID: 2-s2.0-85046636711ISBN: 9781538611272 (digital)OAI: oai:DiVA.org:ltu-68270DiVA, id: diva2:1196492
Konferanse
43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Bejing, China, 29 October - 1 November 2017
Tilgjengelig fra: 2018-04-10 Laget: 2018-04-10 Sist oppdatert: 2018-05-21bibliografisk kontrollert

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