Internet of things augmented a novel PSO‐employed modified zeta converter‐based photovoltaic maximum power tracking system: hardware realisation
Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Jens Bo Holm‐Nielsen, Mahajan Sagar Bhaskar, Farooque Azam
Abstract
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.