Solar energy control system based on metaheuristic method

dc.contributor.advisorKurnaz, Sefer
dc.contributor.authorAbdulqader, Qutada Jihad
dc.date.accessioned2023-12-21T13:43:37Z
dc.date.available2023-12-21T13:43:37Z
dc.date.issued2023en_US
dc.date.submitted2023
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThis 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.en_US
dc.identifier.citationAbdulqader, Q. J. (2023). Solar energy control system based on metaheuristic method. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4411
dc.identifier.yoktezid829240
dc.institutionauthorAbdulqader, Qutada Jihad
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMPPT Controlleren_US
dc.subjectMetaheuristic Methoden_US
dc.subjectSolar Energyen_US
dc.titleSolar energy control system based on metaheuristic method
dc.typeMaster Thesis

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