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dc.contributor.authorChai, Lucas Gao King
dc.contributor.supervisorLenin Gopalen_US
dc.contributor.supervisorHuo Chong Lingen_US
dc.contributor.supervisorRaymond Chiongen_US
dc.date.accessioned2022-03-17T06:21:35Z
dc.date.available2022-03-17T06:21:35Z
dc.date.issued2021en_US
dc.identifier.urihttp://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.publisherCurtin Universityen_US
dc.titleDevelopment of Hybrid PS-FW GMPPT Algorithm for improving PV System Performance Under Partial Shading Conditionsen_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidChai, Lucas Gao King [0000-0002-6278-8855]en_US


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