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- Publisher Website: 10.1109/PESGM40551.2019.8973958
- Scopus: eid_2-s2.0-85079043861
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Conference Paper: Multi-Objective Power Network Partition: Finding the Pareto Frontier
Title | Multi-Objective Power Network Partition: Finding the Pareto Frontier |
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Authors | |
Keywords | multiobjective network partition Pareto Frontier spectral clustering |
Issue Date | 2019 |
Citation | IEEE Power and Energy Society General Meeting, 2019, v. 2019-August, article no. 8973958 How to Cite? |
Abstract | Network 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 Identifier | http://hdl.handle.net/10722/308808 |
ISSN | 2020 SCImago Journal Rankings: 0.345 |
DC Field | Value | Language |
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dc.contributor.author | Zheng, Kedi | - |
dc.contributor.author | Wang, Yi | - |
dc.contributor.author | Chen, Qixin | - |
dc.contributor.author | Lu, Dan | - |
dc.date.accessioned | 2021-12-08T07:50:10Z | - |
dc.date.available | 2021-12-08T07:50:10Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | IEEE Power and Energy Society General Meeting, 2019, v. 2019-August, article no. 8973958 | - |
dc.identifier.issn | 1944-9925 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308808 | - |
dc.description.abstract | Network 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.language | eng | - |
dc.relation.ispartof | IEEE Power and Energy Society General Meeting | - |
dc.subject | multiobjective | - |
dc.subject | network partition | - |
dc.subject | Pareto Frontier | - |
dc.subject | spectral clustering | - |
dc.title | Multi-Objective Power Network Partition: Finding the Pareto Frontier | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/PESGM40551.2019.8973958 | - |
dc.identifier.scopus | eid_2-s2.0-85079043861 | - |
dc.identifier.volume | 2019-August | - |
dc.identifier.spage | article no. 8973958 | - |
dc.identifier.epage | article no. 8973958 | - |
dc.identifier.eissn | 1944-9933 | - |