Improved Approach To Extract Maximum Power From A Small-Scale Fixed PV System
| dc.contributor.author | Tutkun, Nedim | |
| dc.contributor.author | Aktaş, Melih | |
| dc.date.accessioned | 2020-04-30T23:18:26Z | |
| dc.date.available | 2020-04-30T23:18:26Z | |
| dc.date.issued | 2016 | |
| dc.department | DÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.description | IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) -- JUN 06-10, 2016 -- Florence, ITALY | en_US |
| dc.description | WOS: 000387085800091 | en_US |
| dc.description.abstract | It is obvious that irradiation level and cell temperature are mainly influential on I-V characteristic of a PV module. A change in optimal operation point of voltage affects maximum electricity generation transferred to a load. Therefore, it is necessary to use a dc-dc converter to adjust PV output voltage to optimal point of it under constant load conditions. To do that I-V curve of the PV module should first be obtained at given insolation rate and temperature and the dc-dc converter is used to set the voltage to optimal point. In this study, at certain ranges of irradiation level and temperature the I-V curve was obtained through parameter extraction from the single diode model using the genetic algorithm. The duty ratio of the dc-dc converter is optimized until the input resistance of the converter equals the optimal resistance under varying irradiation level and temperature. The results are meaningful and encouraging compared to those of similar works. | en_US |
| dc.description.sponsorship | IEEE, IEEE Advancing Technol Human, Electromagnet Soc, IEEE Ind Applicat Soc, IEEE Power & Energy Soc, IEEE Italy Sect, Sapienza Univ Rome, Univ Florence | en_US |
| dc.identifier.isbn | 978-1-5090-2320-2 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/3303 | |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2016 Ieee 16Th International Conference On Environment And Electrical Engineering (Eeeic) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Renewable energy applications | en_US |
| dc.subject | Photovoltaic energy generatio | en_US |
| dc.subject | Maximum power point tracking system | en_US |
| dc.subject | dc-dc converters | en_US |
| dc.subject | Genetic algorithms | en_US |
| dc.title | Improved Approach To Extract Maximum Power From A Small-Scale Fixed PV System | en_US |
| dc.type | Conference Object | en_US |
