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Journal of Engineering Research

Journal of Engineering Research

Abstract

Abstract- Given the urgent need for continuous development in solar cell systems to increase their efficiency, in this study, a developed IoT technique was built to monitor the solar irradiance fluctuation around the solar cell systems, and a Perturbation and observation algorithm (P&O) was developed to increase the output power from the PV systems. In order to save energy, the IoT technique has been supported with a light-dependent resistor to operate and shut down with sunlight. The whole IoT technique was fed from the PV system to save energy and avoid a power outage. The measured solar irradiance profile was displayed online on the ubidots. Then, the measured solar power irradiance through IoT was introduced to the MATLAB simulation program to study the performance of the proposed P&O maximum power point tracking (P&O-MPPT) algorithm. The P&O-MPPT algorithm was used to control the voltage and current by continuous adjustments in the duty cycle to improve the output power of the studied solar system. The obtained results showed the efficiency of the monitoring system based on IoT in recording changes in solar radiation and the improvement in the output power as a result of the developed P&O-MPPT system.

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