Solar energy control system based on metaheuristic method
Yükleniyor...
Dosyalar
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This thesis examines the issue of figuring out the particle swarm optimization method's
maximum power point tracking algorithm for solar energy systems. Before putting a solar
cell to use, the manufacturer typically characterizes the device using empirical data.
Measurement or detection of a variety of solar energy degradation pathways is important.
Thus, it is advantageous to actively measure solar energy factors throughout time. We
provide an approach to enhance the maximum power point tracking algorithm for an
equivalent model of a typical solar energy system using a smart method based on particle
swarm optimization. This technique enables routine updating of the solar energy system,
which can be used to identify the system's maximum output power. The 1400 Watt was
reached for PV power efficiency, and the irradiation value was 1000 Watt/m2. 95.45% of
both the suggested method and the MPPT method were accurate. Its precision is measured
in terms of maximum power (252.44 Watts), cells per module (40), and open circuit voltage
(35.44 Volts), accordingly.
Açıklama
Anahtar Kelimeler
MPPT Controller, Metaheuristic Method, Solar Energy
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Abdulqader, Q. J. (2023). Solar energy control system based on metaheuristic method. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
