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dc.contributor.authorHa, David Heng Lee
dc.contributor.supervisorRaymond Chiongen_US
dc.date.accessioned2024-10-28T01:31:45Z
dc.date.available2024-10-28T01:31:45Z
dc.date.issued2024en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/96221
dc.description.abstract

Solar photovoltaic (PV) systems encounter Partial Shading Condition (PSC) issues due to uneven solar irradiance exposure on-site. This thesis presents three novel algorithms to address the PSC issues of PV systems namely, the Artificial Location Selection Optimization (ALSO) algorithm, the Modified ALSO-Hill Climbing (ALSO-HC) hybrid algorithm, and the Modified-Delta P (M-DP) algorithm. Further, the effectiveness of these proposed algorithms over the conventional algorithms was verified and validated through the numerical simulations and experimental works.

en_US
dc.publisherCurtin Universityen_US
dc.titleGMPPT Algorithm Optimization for Partially Shaded Photovoltaic Arrayen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentCurtin Malaysiaen_US
curtin.accessStatusFulltext not availableen_US
curtin.facultyCurtin Malaysiaen_US
curtin.contributor.orcidHa, David Heng Lee [0000-0002-8269-0062]en_US
dc.date.embargoEnd2026-10-15


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