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العنوان
Design and Experimental Investigation of Maximum Power Point Tracking For Photovoltaic Generation Energy System /
المؤلف
Mostafa,Hazem Hossam EL-din.
هيئة الاعداد
باحث / Hazem Hossam EL-din Mostafa
مشرف / Wagdi Refaat Anis
مشرف / Amr Mohamed Ibrahim
تاريخ النشر
2019
عدد الصفحات
104p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2019
مكان الإجازة
جامعة عين شمس - كلية الهندسة - الهندسة الإلكترونية والاتصالات الكهربية
الفهرس
Only 14 pages are availabe for public view

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Abstract

use of new renewable energy sources has extended rapidly for many reasons, including the dwindling conventional sources, environmental problems, and scorbutic fuel price dispersion. PV System (PVS) represents a promising sustainable energy source. An MPPT extracts the highest power from the PVS and transfers it to the load. Many developments are done trying to advance the drawback efficiency of the PVS. Many algorithms to track the MPP of PVM have been introduced to resolve the drawback of efficiency.Typical PVS consists of PVM, DC-DC Converter (DDC) and an MPPTC. MPPTC controls the DDC that acts as a coupling stage between PVM and load. A DDC is a device that transfers a DC supply’s voltage from a level to another. The power electronics engineers face many challenges in designing converters with maximum efficiency, small size, reduced cost, and minimize switching losses. For the PVS applications, a conservative step-up (boost converter) can be used. This converter has a simple structure. The step-up (boost) converter is pulse controlled, when the duty cycle is near to hundred percent, the gain approaches infinity. But, practically, the static gain is restricted because of losses associated with the inductor, switch, diode, and capacitor. This thesis pursues a complete analysis of the DDC (buck and boost), involving the parasitic elements effect. Simulation model & experimental examination are utilized confirming the recommended analysis.
In this thesis, four MPPT algorithms are written in MATLAB m-files and investigated by simulations. Oscillation-Less P&O (OLPO), Golden Section Search assisted P&O (GSS-PO), Grey Wolf Optimization (GWO), and Multi-Verse Optimization Algorithm (MVOA) are tested under load variation and under environmental (irradiance) condition variation. Also for more validation a hardware experimental investigation for OLPO & GSS-PO is done to validate the efficiency and tracking performance of the proposed MPPTCs.
The simulated results & practical investigation of the complete PV system show that the performances of the PV panel using the GSS-PO MPPT algorithm provides better steady state and fast transient characteristics when compared with the other three methods. It yields not only a reduction in convergence time to track the maximum power point MPP, but also a significant reduction in power fluctuations around the MPP due to its very small step-size.
Keywords:
Photovoltaic; MPPT; DC-DC Converters.