A Novel MPPT Technique for Solar PV System to Maximize IoT Network Lifetime

The advent of the Internet of Things (IoT) has revolutionized various industries by connecting physical devices and enabling them to exchange data. However, One of the key challenges faced by IoT nodes is the limited availability of energy resources. Therefore, optimizing energy efficiency in IoT nodes has emerged as a crucial research area. This paper presents a solution aimed at addressing this challenge, an optimized solar energy harvesting system for IoT nodes, using solar photovoltaic energy. Our work introduces a novel approach called MPPT HHO-HBA. This approach combines two optimization techniques, Harris Hawks Optimization and Honey Badger algorithm. The aim of our approach is to optimize the Maximum Power Point Tracking (MPPT) of solar panels for IoT nodes to maximize their power output and increase the overall network’s lifetime. To ensure that the harvested solar power is effectively used, a SEPIC converter is employed to boost the electrical energy generated by the solar panel. The proposed approach is implemented in MATLAB/Simulink, and the effectiveness of the methodology is assessed using appropriate metrics. The results demonstrate that the proposed method surpasses previous strategies in terms of efficiency. Additionally, our system has the capability to power numerous sensor nodes, contributing to enhanced sustainability and reduced carbon footprint compared to traditional energy sources.