Convergence of Cloud with AI for Big Data Analytics

10An Efficient Solar Energy Management Using IoT-Enabled Arduino-Based MPPT Techniques

Rita Banik¹* and Ankur Biswas²

¹ Department of EEE, ICFAI University Tripura, Agartala, Tripura, India

² Department of CSE, Tripura Institute of Technology, Narsingarh, Tripura, India

Abstract

The amount of irradiance falling on a photovoltaic (PV) system has a significant impact on its performance. To achieve a constant peak power generation in a PV, maximum power point tracking (MPPT) approach is utilized, which employs a control system to enable PV system to run at their highest power output. The study proposes a method to design solar Maximum Power Point (MPP) Tracker based on an improved, fast, and reliable algorithm. The algorithm is inspired by existing Perturb and Observe (P&O) approach for monitoring solar photovoltaic (SPV) maximum power point. The tracker has been created with a low-cost Arduino UNO development kit, powered by an ATmega328P microcontroller that runs at a 16MHz frequency. The model is fast, accurate and utilizes very low power due to its high frequency operations. The circuit was simulated using Proteus and a hardware prototype to realize the operation has also been established. MPPT was responded in a quick and accurate manner to the changes in solar radiation. The algorithm can significantly minimize the power loss as it removes the oscillation around the MPP. The efficiency offered by the tracker is 99.21% under a Standard Test Condition (1000 W/m² irradiance ...