dc.contributor.author | Basoglu, Mustafa Engin | |
dc.date.accessioned | 2021-11-09T19:42:33Z | |
dc.date.available | 2021-11-09T19:42:33Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 0093-9994 | |
dc.identifier.issn | 1939-9367 | |
dc.identifier.uri | https://doi.org/10.1109/TIA.2018.2885216 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12440/3412 | |
dc.description | 17th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC) / 1st IEEE Industrial and Commercial Power Systems Europe Conference (IEEE I and CPS Europe) -- JUN 06-09, 2017 -- Milan, ITALY | en_US |
dc.description.abstract | Photovoltaic modules may experience some mismatching conditions that affect their available power capacity, causing inefficient maximum power point tracking (MPPT). Furthermore, their power-voltage (P-V) characteristic curve becomes a multi-peak structure in such conditions owing to the presence of bypass diodes included since every part of the modules may receive different solar irradiance. By taking into account these facts, this paper introduces an improved global MPPT technique comprising 0.8 V-OC model and the limited and adaptive scan approach. The proposed technique eliminates the requirement of some threshold value, leading to unreliable operation which the classical 0.8 V-OC model based studies suffer from. Furthermore, the tracking time has been reduced substantially with the proposed technique by limiting scanning interval. Performance of the proposed technique has been verified by experimental studies and compared with classical 0.8 V-OC model and a full scanning technique, which have been already presented in the literature. Experimental results show that the proposed technique is simple to be implemented and it has better performance than classical 0.8 V-OC model, full scanning, and perturb and observe algorithms. Therefore, the proposed technique is feasible and it can be used technically in module level distributed MPPT (DMPPT) applications. | en_US |
dc.description.sponsorship | IEEE, IEEE EMC Soc, IEEE Power & Energy Soc, IEEE Ind Applicat Soc | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [116E283] | en_US |
dc.description.sponsorship | This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Contract 116E283. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | Ieee Transactions on Industry Applications | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Global maximum power point tracking(GMPPT) | en_US |
dc.subject | module level maximum power point tracking (MPPT) | en_US |
dc.subject | partial shading condition (PSC) | en_US |
dc.subject | photovoltaic (PV) module | en_US |
dc.subject | PV optimizer | en_US |
dc.title | An Improved 0.8 V-OC Model Based GMPPT Technique for Module Level Photovoltaic Power Optimizers | en_US |
dc.type | conferenceObject | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.description.wospublicationid | WOS:000460318500081 | en_US |
dc.description.scopuspublicationid | 2-s2.0-85058136865 | en_US |
dc.department | Gümüşhane Üniversitesi | en_US |
dc.identifier.volume | 55 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 1913 | en_US |
dc.identifier.doi | 10.1109/TIA.2018.2885216 | |
dc.identifier.endpage | 1921 | en_US |
dc.authorwosid | Basoglu, Mustafa Engin / S-4519-2019 | |
dc.authorscopusid | 55649743900 | |