Development of Hybrid PS-FW GMPPT Algorithm for improving PV System Performance Under Partial Shading Conditions
dc.contributor.author | Chai, Lucas Gao King | |
dc.contributor.supervisor | Lenin Gopal | en_US |
dc.contributor.supervisor | Huo Chong Ling | en_US |
dc.contributor.supervisor | Raymond Chiong | en_US |
dc.date.accessioned | 2022-03-17T06:21:35Z | |
dc.date.available | 2022-03-17T06:21:35Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/88136 | |
dc.description.abstract |
A global maximum power point tracking (MPPT) algorithm hybrid based on Particle Swarm Fireworks (PS-FW) algorithm is proposed which is formed with Particle Swarm Optimization and Fireworks Algorithm. The algorithm tracks the global maximum power point (MPP) when conventional MPPT methods fail due to occurrence of partial shading conditions. With the applied strategies and operators, PS-FW algorithm obtains superior performances verified under simulation and experimental setup with multiple cases of shading patterns. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Development of Hybrid PS-FW GMPPT Algorithm for improving PV System Performance Under Partial Shading Conditions | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | MPhil | 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 |
curtin.contributor.orcid | Chai, Lucas Gao King [0000-0002-6278-8855] | en_US |