Muhammad Nabil Afiq Nor Azari, Ahmad Asri Abd Samat, Kamarulazhar Daud, Aimi Idzwan Tajudin, Langlang Gumilar, Abdul Malek Saidina Omar
The primary objective of this study is to develop and evaluate an Incremental Conductance (InC) Maximum Power Point Tracking (MPPT) method, in conjunction with a boost converter, to enhance the power generation efficiency of photovoltaic (PV) systems. The research aims to evaluate the performance of the Sharp NT175U1 solar PV module under varying levels of sunlight to replicate real-world conditions. The objective is to identify and address the limitations of traditional MPPT approaches by developing a more flexible, responsive approach to environmental fluctuations. The project utilises MATLAB/Simulink to simulate a dynamic system that regulates the duty cycle of a DC-DC boost converter to optimise power output. The core findings demonstrate significant improvements in efficiency and flexibility, as the InC MPPT technique effectively tracks the maximum power point (MPP) and keeps consistent performance despite varying conditions. This indicates the potential of improved dependability and durability in photovoltaic installations, promoting wider use in renewable energy initiatives. © 2026 IEEE.
Tanjung Bin Power Plant, Malakoff Power Berhad, Pontian, Johor, Malaysia; Universiti Teknologi MARA, Cawangan Pulau Pinang, Electrical Engineering Studies, Malaysia; Universitas Negeri Malang, Department of Electrical Engineering, Malang, Indonesia
