PV Module Parameters Extraction with Maximum Power Point Estimation Based on Flower Pollination Algorithm

dc.authoridCOLAK, ILHAMI/0000-0002-6405-5938
dc.authoridTAGHEZOUIT, Bilal/0000-0003-4958-9090
dc.contributor.authorBenkercha, Rabah
dc.contributor.authorMoulahoum, Samir
dc.contributor.authorColak, Ilhami
dc.contributor.authorTaghezouit, Bilal
dc.date.accessioned2024-09-11T19:53:56Z
dc.date.available2024-09-11T19:53:56Z
dc.date.issued2016
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description17th IEEE International Power Electronics and Motion Control Conference (PEMC) -- SEP 25-30, 2016 -- Varna, BULGARIAen_US
dc.description.abstractModeling of photovoltaic (PV) module remains as an important issue for many applications like monitoring or fault detection. Hence, many models have been proposed in literature, the most popular ones are the single and double diode models. Each model have unknown parameters to be identified. In this paper, a parameters extraction for both single and double diode models by using flower pollination algorithm is proposed. This algorithm is based on flower pollination for optimal reproduction of the plants species and can be considered as an optimization technique. Experimental validation was carried out by comparing the obtained results with real measurements data. In order to give usefulness, the extracted PV module parameters values are incorporated to estimate the maximum power point (MPP) and compared it with the MPP obtained from real data of grid connected photovoltaic system (GCPVS).en_US
dc.description.sponsorshipIEEE Ind Elect Soc,IEEE Ind Applicat Soc,IEEE,Tech Univ Sofia,New Univ Lisbonen_US
dc.identifier.endpage449en_US
dc.identifier.isbn978-1-5090-1798-0
dc.identifier.scopus2-s2.0-85008258931en_US
dc.identifier.startpage442en_US
dc.identifier.urihttps://hdl.handle.net/11363/8229
dc.identifier.wosWOS:000390590000066en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 Ieee International Power Electronics And Motion Control Conference (Pemc)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectPV modulesen_US
dc.subjectFlower pollination algorithmen_US
dc.subjectParameters extractionen_US
dc.subjectMaximum power pointen_US
dc.subjectGrid connected photovoltaic systemen_US
dc.subjectmeta-heuristic optimizationen_US
dc.titlePV Module Parameters Extraction with Maximum Power Point Estimation Based on Flower Pollination Algorithmen_US
dc.typeConference Objecten_US

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