Performance evaluation of solar photovoltaic system based on perturb and observe (P&O) maximum power point tracking (MPPT) algorithm / Nurfarah Ayuni Abdul Khani ... [et al.]

• Main Authors: Abdul Khani, Nurfarah Ayuni, Zakaria, Muhammad Iqbal, Mat Yusoh, Mohd Abdul Talib, Kamarudin, Muhammad Nizam, A.A Emhemed, Abdul Rahman
• Format: Article
• Language: English
• Published: Universiti Teknologi MARA Cawangan Pulau Pinang 2024
• Subjects: Pulau Pinang; Universiti Teknologi MARA
• Online Access: https://ir.uitm.edu.my/id/eprint/104954/1/104954.pdf; https://ir.uitm.edu.my/id/eprint/104954/; https://uppp.uitm.edu.my/

The Photovoltaic system (PV) is gaining popularity as a future energy source due to its vast, secure, essentially limitless, and widely accessible nature. However, a prevalent challenge in PV systems is the impact of solar cell radiation intensity and temperature on the output power induced in the photovoltaic module. As a result, monitoring the input source's maximum power point becomes essential for maximizing the effectiveness of the renewable energy system. In order to harvest the most power from the photovoltaic system and channel it to the load through a boost converter, which raises the voltage to the necessary level, most Power Point Tracking, or MPPT, is essential. This study uses the Perturb and Observe (P&O) method to track the photovoltaic module's Maximum Power Point (MPP) and maximize the system's overall power production to overcome this obstacle. By varying the array terminal voltage or current, the P&O approach perturbs the system and then compares the PV output power to the preceding perturbation cycle. Therefore, the main goal of this study is to simulate and assess the effectiveness of the P&O MPPT algorithm in MATLAB/Simulink when it comes to maximizing power extraction from a photovoltaic system. The simulation findings show that the suggested P&O approach is a reliable means of tracking MPP from PV panels, even when there are fluctuations in solar irradiation.