Smoothing of Photovoltaic Generation
dc.contributor.author | Saleh, Mojtaba | |
dc.contributor.supervisor | Prof. Mohammad Sherkat Masoum | |
dc.date.accessioned | 2018-05-01T06:59:14Z | |
dc.date.available | 2018-05-01T06:59:14Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/66584 | |
dc.description.abstract |
This study investigates the solutions to eliminate the intermittency of the photovoltaic (PV) generation resources in the electric grids. It addresses the battery storage backup as a conventional solution to absorb the sudden dips and rises in the PV generation, which are mainly attributed to passing clouds. This approach is further improved by incorporating the cloud prediction information produced by processing the real-time sky images. This proved to mitigate the reliance on the storage backup. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Smoothing of Photovoltaic Generation | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | |
curtin.department | Department of Electrical and Computer Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |