@inproceedings{c41c43d1e4ed4b8c998345f31e7720ed,
title = "Arduino Uno-Based Maximum Power Point Tracking for PV Module Using Perturb and Observe Algorithm",
abstract = "Using photovoltaic module, electrical energy obtained by converting energy from the irradiation of the sun. However, the disadvantages using photovoltaic module is when irradiation from the sun changes which moves the maximum power point in P- V curve resulting in output power obtained become not at its maximum power. The method to extract maximum power available from changing energy source in example solar photovoltaic module are known as Maximum Power Point Tracking (MPPT). One of MPPT techniques is called Perturb and Observe. Maximum power achieved when the derivative of power over the derivative of voltage results in zero. Arduino Uno used as microcontroller which process the readings from voltage and current sensor while also controlling DC-DC Booster which able to move the operating voltage of the system. Experimental results yield the output power from system greater than output power from photovoltaic module without using MPPT as result from the system working at operating voltage when the voltage of maximum power exists.",
keywords = "Arduino Uno, DC-DC booster, MPPT, perturb and observe, photovoltaic module",
author = "Batu, {Alfredo Oliver} and Harsono Soepardjo and Prawito Prajitno",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019 ; Conference date: 04-12-2019 Through 06-12-2019",
year = "2019",
month = dec,
doi = "10.1109/MoRSE48060.2019.8998643",
language = "English",
series = "Proceedings of the 2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "213--216",
booktitle = "Proceedings of the 2019 International Conference on Mechatronics, Robotics and Systems Engineering, MoRSE 2019",
address = "United States",
}