On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment
This PhD research proposes a new objective function for optimal on-line PEV coordination. A new enhanced on-line coordinated charging using coordinated aggregated particle swarm particle optimization (OLCC-CAPSO) has been used to solve the PEV coordination objective objection and associated constrai...
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| Format: | Thesis |
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Curtin University
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/75838 |
| _version_ | 1848763561772318720 |
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| author | Hajforoosh, Somayeh |
| author_facet | Hajforoosh, Somayeh |
| author_sort | Hajforoosh, Somayeh |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This PhD research proposes a new objective function for optimal on-line PEV coordination. A new enhanced on-line coordinated charging using coordinated aggregated particle swarm particle optimization (OLCC-CAPSO) has been used to solve the PEV coordination objective objection and associated constraints. The objective function provides a chance for all PEVs to start charging as quickly as possible, while customer satisfaction function is being optimized subject to network criteria including voltage profiles, generator and distribution transformer ratings. |
| first_indexed | 2025-11-14T11:05:25Z |
| format | Thesis |
| id | curtin-20.500.11937-75838 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:05:25Z |
| publishDate | 2019 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-758382019-07-05T03:39:47Z On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment Hajforoosh, Somayeh This PhD research proposes a new objective function for optimal on-line PEV coordination. A new enhanced on-line coordinated charging using coordinated aggregated particle swarm particle optimization (OLCC-CAPSO) has been used to solve the PEV coordination objective objection and associated constraints. The objective function provides a chance for all PEVs to start charging as quickly as possible, while customer satisfaction function is being optimized subject to network criteria including voltage profiles, generator and distribution transformer ratings. 2019 Thesis http://hdl.handle.net/20.500.11937/75838 Curtin University fulltext |
| spellingShingle | Hajforoosh, Somayeh On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment |
| title | On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment |
| title_full | On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment |
| title_fullStr | On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment |
| title_full_unstemmed | On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment |
| title_short | On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment |
| title_sort | on-line optimal charging coordination of plug-in electric vehicles in smart grid environment |
| url | http://hdl.handle.net/20.500.11937/75838 |