Optimal Online Charging Coordination of Plug in Electric Vehicles in Unbalanced Grids for Ancillary Voltage Support
| dc.contributor.author | Jabalameli, Nasim | |
| dc.contributor.supervisor | Arindam Ghosh | en_US |
| dc.date.accessioned | 2019-12-06T00:35:16Z | |
| dc.date.available | 2019-12-06T00:35:16Z | |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/77110 | |
| dc.description.abstract |
This PhD thesis will propose an optimal online charge control through genetic algorithm for G2V coordination of PEVs (OL-C-TP) in unbalanced systems. Moreover the algorithm will be extended to also include V2G coordination and offer ancillary voltage support (OL-CD-TPQ) by considering two different methods based on the utility time-of-day prices for exporting reactive power and droop controller for decentralized exporting of reactive power. Then the performance of OL-CD-TPQ by switching PEVs in three phase unbalanced networks is improved. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Optimal Online Charging Coordination of Plug in Electric Vehicles in Unbalanced Grids for Ancillary Voltage Support | 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 |