Date of Award

1-23-2026

Document Type

Thesis

Degree Name

Engineering, MSE

First Advisor

Md Mahmudul Hasan

Committee Members

Ehsan Naderi; Zahid Hossain

Abstract

The Photovoltaic System (PV) is one of the widely used sources of renewable energy. There are various control mechanisms to manipulate the PV system. However, one of the major control mechanisms is Maximum Power Point Tracking (MPPT) to extract the maximum power from the solar panel. The solar power is intermittent and stochastic in nature due to the unpredictable sunlight exposure to the solar panel and temperature variance throughout the day and year. Consequently, the PV module does not run at Maximum Power Point (MPP) naturally; therefore, an MPPT controller is utilized so that the solar panel runs in the MPP in volatile weather conditions. Various widely used algorithms have been developed so far. Nevertheless, each algorithm has its own drawback, therefore a novel algorithm that is simple yet effective needs to be developed to extract maximum power from solar panels. In this study, a noble algorithm has been proposed named angular scanning method (ASM) for MPPT controller, where the I-V curve will be systematically scanned by a predefined straight line I which is equal to the product of voltage (V) and tangent function (tan(θ)), where θ is the scanning angle, and will be iteratively changed with a step size Δθ until the accurate MPP has been achieved. The scanning starts at open circuit voltage (��!") where θ is equal to 0 and will end at short circuit current (��#") where θ is equal to 90. Since there is one unique point in the I-V curve where power is maximum, the ASM algorithm can successfully track that point. To study the efficacy of the proposed algorithm, a computational simulation was carried out with solar panels under uniform and shady irradiances. In all cases, the simulation results show that the overall efficiency is above 99%. Additionally, the study confirmed the algorithm's ability to dynamically track MPP, responding instantly to extreme irradiance variability and updating the controller. It is anticipated that the new ASM would help to increase the efficacy of harnessing solar energy.

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