PV Module Parameters Extraction with Maximum Power Point Estimation Based on Flower Pollination Algorithm
dc.authorid | COLAK, ILHAMI/0000-0002-6405-5938 | |
dc.authorid | TAGHEZOUIT, Bilal/0000-0003-4958-9090 | |
dc.contributor.author | Benkercha, Rabah | |
dc.contributor.author | Moulahoum, Samir | |
dc.contributor.author | Colak, Ilhami | |
dc.contributor.author | Taghezouit, Bilal | |
dc.date.accessioned | 2024-09-11T19:53:56Z | |
dc.date.available | 2024-09-11T19:53:56Z | |
dc.date.issued | 2016 | |
dc.department | İstanbul Gelişim Üniversitesi | en_US |
dc.description | 17th IEEE International Power Electronics and Motion Control Conference (PEMC) -- SEP 25-30, 2016 -- Varna, BULGARIA | en_US |
dc.description.abstract | Modeling 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.sponsorship | IEEE Ind Elect Soc,IEEE Ind Applicat Soc,IEEE,Tech Univ Sofia,New Univ Lisbon | en_US |
dc.identifier.endpage | 449 | en_US |
dc.identifier.isbn | 978-1-5090-1798-0 | |
dc.identifier.scopus | 2-s2.0-85008258931 | en_US |
dc.identifier.startpage | 442 | en_US |
dc.identifier.uri | https://hdl.handle.net/11363/8229 | |
dc.identifier.wos | WOS:000390590000066 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2016 Ieee International Power Electronics And Motion Control Conference (Pemc) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | 20240903_G | en_US |
dc.subject | PV modules | en_US |
dc.subject | Flower pollination algorithm | en_US |
dc.subject | Parameters extraction | en_US |
dc.subject | Maximum power point | en_US |
dc.subject | Grid connected photovoltaic system | en_US |
dc.subject | meta-heuristic optimization | en_US |
dc.title | PV Module Parameters Extraction with Maximum Power Point Estimation Based on Flower Pollination Algorithm | en_US |
dc.type | Conference Object | en_US |