@inproceedings{00233c445e9542fcaa96f160ebc4e3de,
title = "Arduino-Based MPPT Technique for PV Modules with Bidirectional DC-DC Converter",
abstract = "To optimize the power output of photovoltaic (PV) systems and increase panel efficiency, a tracking methodology for the maximum power point must be utilized. Maximum Power Point Tracking (MPPT) is crucial because the output power of a solar panel fluctuates with varying environmental conditions, including solar irradiance and temperature. This work employs a bidirectional DC-DC converter to adjust the electrical operating point of the PV module to achieve maximum output power. The Perturb and Observe (P\&O) MPPT algorithm is introduced and simulated using Simulink with two series-connected solar panels, while the practical implementation uses a single solar panel. The Simulink model is validated with the Simulink Support Package for Arduino Hardware microcontroller. During a two-hour period, the Perturb and Observe (P\&O) algorithm successfully tracked the maximum power point amid fluctuating irradiance conditions, achieving a change in power (AP) of approximately 7 W. This swift adjustment of the operating point in response to changing irradiance levels confirms the robustness and suitability of the P\&O algorithm for real-time applications, ensuring maximum power harvest.",
keywords = "DC-DC converter, MPPT, P\&O, photovoltaics, PV module",
author = "Noman, \{Abdullah M.\} and Ali Baker and Abdullah Abohassna and Almousa, \{Motab Turki\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024 ; Conference date: 24-11-2024 Through 27-11-2024",
year = "2024",
doi = "10.1109/iSPEC59716.2024.10892517",
language = "English",
series = "2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "66--71",
booktitle = "2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024",
address = "United States",
}