Determination of the effects of operating conditions on the output power of the inverter and the power quality using an artificial neural network

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dc.authoridKayabasi, Erhan/0000-0002-3603-6211
dc.authoridYilmaz, Mustafa/0000-0002-4152-7453
dc.contributor.authorYilmaz, Mustafa
dc.contributor.authorKayabasi, Erhan
dc.contributor.authorAkbaba, Mehmet
dc.date.accessioned2024-09-29T15:57:33Z
dc.date.available2024-09-29T15:57:33Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, the effects of operating conditions of photovoltaic (PV) panels in a power plant installed in Burdur province in Turkey with 8 MW capacity, the output power of the inverter and the power quality in the grid were examined experimentally in January and July. In addition, an artificial neural network (ANN) was utilized to estimate the power at the output of the inverter under different operating conditions and optimal operating conditions were attempted to be determined. In the ANN configuration, the output power generated in PV panels (P-DC), radiation intensity, relative humidity and temperature measurements were used as input data, output power (P-AC) at the junction of the inverter, power factor (PF) and the frequency values were used as output data. In order to ensure the integration of the energy obtained from the solar power plant by using the obtained results, it was tried to estimate the levels of the factors affecting the inverter output power and efficiency in terms of the proper operating conditions and efficiency. The success level of the ANN results was observed to be above 99% with the experimental results. (C) 2019 Karabuk University. Publishing services by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.jestch.2019.02.006
dc.identifier.endpage1076en_US
dc.identifier.issn2215-0986
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85062391709en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1068en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2019.02.006
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4888
dc.identifier.volume22en_US
dc.identifier.wosWOS:000488470000006en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science and Technology-An International Journal-Jestechen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPV panelen_US
dc.subjectInverteren_US
dc.subjectANNen_US
dc.subjectPower qualityen_US
dc.subjectDistributed generationen_US
dc.titleDetermination of the effects of operating conditions on the output power of the inverter and the power quality using an artificial neural networken_US
dc.typeArticleen_US

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