On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment
dc.contributor.author | Hajforoosh, Somayeh | |
dc.contributor.supervisor | Syed Islam | en_US |
dc.date.accessioned | 2019-07-05T03:39:47Z | |
dc.date.available | 2019-07-05T03:39:47Z | |
dc.date.issued | 2019 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/75838 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | On-Line Optimal Charging Coordination of Plug-In Electric Vehicles in Smart Grid Environment | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |