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Solar Panel Tilting System in IoT Using Maximum Power Point Tracking
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Author(s): Singaravelan Shanmugasundaram (PSR Engineering College, India), D. Murugan (Manonmaniam Sundaranar University, India), S. Hemasilviavinothini (Nandha College of Technology, India), R. Srinivasan Balu (AAA College of Engineering and Technology, India), U. Kumaran (Saveetha Engineering College, India), P. Gopalsamy (PSR Engineering College, India), S. Balaganesh (PSR Engineering College, India)and M. Alamelu Mangai (Francis Xavier Engineering College, India)
Copyright: 2025
Pages: 28
Source title:
Harnessing AI for Control Engineering
Source Author(s)/Editor(s): Mohamed Arezki Mellal (M'Hamed Bougara University, Algeria)
DOI: 10.4018/979-8-3693-7812-0.ch013
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Abstract
The optimization goal is to increase the amount of generated energy with the help of photovoltaic system considering the tracking system's consumption. Determination of the tilt angle and azimuth angle trajectories is described as a nonlinear and bounded optimization problem. For collection of solar energy we have used sensors (LDR) for tracking of sun's path to make sure that the panel should be placed in MPPTto observe more efficiency and make sure that the panel should be placed in MPPT point.This is definitely a more cost effective solution than purchasing additional solar panels. The maximum power point tracking (MPPT) method is used to track the maximum amount of solar energy generated by the sun. In the world to avoid the dependency on non - renewable resources, solar energy is rapidly gaining the focus. This system will rotate according to the position of the sun. The operation of the experimental model of the device is based on a servo motor which is intelligently controlled by an Arduino UNO board that moves a mini PV panel according to the rotation of the sun.
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