Determination of the effects of operating conditions on the output power of the inverter and the power quality using an artificial neural network
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier - Division Reed Elsevier India Pvt Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In 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.
Açıklama
Anahtar Kelimeler
PV panel, Inverter, ANN, Power quality, Distributed generation
Kaynak
Engineering Science and Technology-An International Journal-Jestech
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
22
Sayı
4
