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Research Article |

Dynamic Monitoring and Analysis of Dual-Axis movement of SPV Power Plant Parameters under various Atmospheric Conditions

Author(s): Udit Mamodiya* and Neeraj Tiwari

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Special Issue on BDF

Publisher : FOREX Publication

Published : 28 March 2024

e-ISSN : 2347-470X

Page(s) : 12-18

DOI: https://doi.org/10.37391/ijeer.12bdf03

Abstract

This research paper presents comprehensive insight into the testing of a 1 KW sun tracking photovoltaic (PV) performance. The study uses a state-of-the-art real-time string monitoring system to allow this analysis while covering an extensive variety of atmospheric conditions. The design of the 1 KW solar tracker system incorporates a tracking sensor circuit, motor driver circuit, string monitoring system, and solar tracker control circuit. Solar tracking systems boost energy generation by adjusting the angle of PV panels to optimum sunlight exposure. The effectiveness of such devices can, however, be severely impacted by atmospheric changes. In a photovoltaic (PV) facility, we have successfully developed and placed into use a real-time system for monitoring certain strings. The system collected data on key parameters such as current, voltage, and temperature, providing insights into the health and efficiency of each string. Our study encompassed various atmospheric conditions, including clear skies, cloudy days, and fluctuating solar radiation. A DAQ system developed communicate with observations such as the voltage and current of photovoltaic arrays and the voltage and current of DC motors. When comparing the dual-axis tracking system to the static PV system, a maximum of 48% more electricity can be extracted. Both days with clear skies and days with clouds provide satisfactory results. The supply for the tracker control circuit comes from PV cells. Therefore, there is no need for any auxiliary supply, such as a battery.

Keywords: DAQ, DAST, PV, LDR, DAS, SPV.




Udit Mamodiya*, PhD, Research Scholar, Department of Electrical Engineering, School of Engineering & Technology, Poornima University, Jaipur, India; Email: 1990uditmamodiya@gmail.com

Neeraj Tiwari, Professor, Department of Electrical Engineering, School of Engineering & Technology, Poornima University, Jaipur, India; Email: neerajtiwari.1407@gmail.com

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Udit Mamodiya and Neeraj Tiwari (2024), Dynamic Monitoring and Analysis of Dual-Axis movement of SPV Power Plant Parameters under various Atmospheric Conditions. IJEER 12(bdf), 12-18. DOI: 10.37391/ijeer.12bdf03.