Design and implementation of IoT-based dual-axis solar PV tracking system

In the world today, power generated from solar PV plays a crucial role in the field of sustainable electrification. However, the power produced from solar system reduces significantly owing to the positioning of PV modules. In order to increase the efficiency of solar PV for an improved power generation, this paper proposes the designing and implementation of an IoT-based dual axis solar PV tracking system. The proposed solar tracker control system employs an Arduino based microcontroller unit, Global Positioning System (GPS), web-based connectivity and light-dependent resistors (LDRs). The LDRs are used for detecting the visible light spectrum, thereby enhancing tracking movement of the PV modules. The tracking controller utilizes four intensity signal radiations obtained from LDR sensors as inputs to rotate the axes based on daily sun trajectory. The results obtained from the experimental study shows an efficient performance of the proposed tracking system as compared to a fixed system.