A study of deep neural network controller based power quality improvement of hybrid pv/wind systems by using smart inverter
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Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Nowadays, the world is witnessing uncontrollable changes, such as global warming and climate
change because of excessive fossil fuel utilization for transportation and power generation;
therefore, the developed world is mainly concentrating on alternative resource development; for
which, they have taken major research and development initiatives. Generally, certain alternative
power generation sources, including wind, solar, and hydropower are not detrimental to nature.
For this reason, solar and wind power have been declared as useful alternative energy resources,
and besides, they are abundant. This thesis shows the investigation of the performances of wind
energy systems and photovoltaic cells when weather conditions keep on changing. The findings
of this research provide the basis for developing an advanced intelligent control system to
maximize power generation. For renewable energy sources, the MPPT controller is essential
because weather conditions are mostly unpredictable. This thesis has been written with a major
objective to suggest a new algorithm, which is based on deep neural network (DNN), and to apply it for maximum power point tracking (MPPT). MATLAB was used to simulate this project
for wind-based power generation systems and photovoltaic (PV) cells. An advanced DNN
controller was developed for reducing the THD value and improving the output power quality of
a microgrid-integrated hybrid wind/PV power generation system. The performance of the
proposed system was tested and analyzed in several possible operating conditions using
MATLAB to assure its functionality. In the end, we also analyzed the results of simulations
using the IEEE 1547 standard.
Açıklama
Anahtar Kelimeler
Artificial Intelligence, Deep Neural Network, PV, Wind Power, MPPT, Microgrid
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Ab-Belkhir, A. (2021). A study of deep neural network controller based power quality improvement of hybrid pv/wind systems by using smart inverter (Yayınlanmış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
