Internet of things augmented a novel PSO-employed modified zeta converter-based photovoltaic maximum power tracking system: Hardware realisation

In this study, a particle swarm optimisation (PSO) augmented internet of things (IOT)-based maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) system has been proposed. A modified DC-DC ZETA converter is used as an interface between solar PV and DC load. The duty cycle of the converter is continuously modulated for harvesting maximum power using PSO-IOT algorithm employing Arduino and Bluetooth system. IOT-based control system provides monitoring and compiling of PV reference voltage for MPPT controller of the PV system. Further, the experimental results validate the improved performance of the proposed algorithm. A performance comparison is provided in order to prove the merit of proposed MPPT algorithm over existing techniques such as perturb and observe, PSO, ant colony optimisation, artificial bee colony.