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Conference Paper: Multi-Objective Power Network Partition: Finding the Pareto Frontier

TitleMulti-Objective Power Network Partition: Finding the Pareto Frontier
Authors
Keywordsmultiobjective
network partition
Pareto Frontier
spectral clustering
Issue Date2019
Citation
IEEE Power and Energy Society General Meeting, 2019, v. 2019-August, article no. 8973958 How to Cite?
AbstractNetwork partition techniques have been widely applied in power systems. While traditional researches focus on improving the precision and efficiency for a single objective, multi-objective network partition is also of vital importance in reality. The main characteristic of multi-objective network partition is the trade-off between different targets. The Pareto Frontier marks the best trade-off that can be achieved. This paper proposed a framework for realizing Pareto improvements using the combination of several efficient partition techniques based on spectral clustering. The efficacy of the framework is demonstrated by numerical experiments.
Persistent Identifierhttp://hdl.handle.net/10722/308808
ISSN
2020 SCImago Journal Rankings: 0.345

 

DC FieldValueLanguage
dc.contributor.authorZheng, Kedi-
dc.contributor.authorWang, Yi-
dc.contributor.authorChen, Qixin-
dc.contributor.authorLu, Dan-
dc.date.accessioned2021-12-08T07:50:10Z-
dc.date.available2021-12-08T07:50:10Z-
dc.date.issued2019-
dc.identifier.citationIEEE Power and Energy Society General Meeting, 2019, v. 2019-August, article no. 8973958-
dc.identifier.issn1944-9925-
dc.identifier.urihttp://hdl.handle.net/10722/308808-
dc.description.abstractNetwork partition techniques have been widely applied in power systems. While traditional researches focus on improving the precision and efficiency for a single objective, multi-objective network partition is also of vital importance in reality. The main characteristic of multi-objective network partition is the trade-off between different targets. The Pareto Frontier marks the best trade-off that can be achieved. This paper proposed a framework for realizing Pareto improvements using the combination of several efficient partition techniques based on spectral clustering. The efficacy of the framework is demonstrated by numerical experiments.-
dc.languageeng-
dc.relation.ispartofIEEE Power and Energy Society General Meeting-
dc.subjectmultiobjective-
dc.subjectnetwork partition-
dc.subjectPareto Frontier-
dc.subjectspectral clustering-
dc.titleMulti-Objective Power Network Partition: Finding the Pareto Frontier-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/PESGM40551.2019.8973958-
dc.identifier.scopuseid_2-s2.0-85079043861-
dc.identifier.volume2019-August-
dc.identifier.spagearticle no. 8973958-
dc.identifier.epagearticle no. 8973958-
dc.identifier.eissn1944-9933-

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