Incremental Conductance Based Particle Swarm Optimization Algorithm for Global Maximum Power Trackin...
Incremental Conductance Based Particle Swarm Optimization Algorithm for Global Maximum Power Tracking of Solar-PV under Nonuniform Operating Conditions
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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In practical operating conditions, the Solar-Photo Voltaic (SPV) system experiences multifarious irradiation and temperature levels, which generate power with multiple peaks. This is considered as the nonuniform operating condition (NUOC). This requires accurate tracking of global power peaks to achieve maximum power from SPV, which is a challengin...
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Incremental Conductance Based Particle Swarm Optimization Algorithm for Global Maximum Power Tracking of Solar-PV under Nonuniform Operating Conditions
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TN_cdi_doaj_primary_oai_doaj_org_article_f65d3d65504d4f4e93571ce873271e8b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f65d3d65504d4f4e93571ce873271e8b
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10134575
