Open AccessInternet of things augmented a novel PSO‐employed modified zeta converter‐based photovoltaic maximum power tracking system: hardware realisation
Author(s) -
Priyadarshi Neeraj,
Padmanaban Sanjeevikumar,
HolmNielsen Jens Bo,
Bhaskar Mahajan Sagar,
Azam Farooque
Publication year - 2020
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2019.1121
Subject(s) - realisation , photovoltaic system , tracking (education) , computer science , zeta potential , power (physics) , internet of things , embedded system , engineering , control engineering , electrical engineering , physics , nanoparticle , psychology , pedagogy , quantum mechanics , chemical engineering
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.