Internet of things augmented a novel PSO‐employed modified zeta converter‐based photovoltaic maximum power tracking system: hardware realisation. Issue 13 (1st October 2020)

• Record Type: Journal Article
• Authors: Priyadarshi, Neeraj; Padmanaban, Sanjeevikumar; Holm‐Nielsen, Jens Bo; Bhaskar, Mahajan Sagar; Azam, Farooque
• Is Part Of: IET power electronics. Volume 13:Issue 13(2020)
• Page Start: 2775
• Page End: 2781
• Publication Date: 2020-10-01
• Subjects: ant colony optimisation -- Internet of Things -- maximum power point trackers -- DC‐DC power convertors -- particle swarm optimisation -- power generation control -- photovoltaic power systems; solar photovoltaic system -- modified DC–DC ZETA converter -- PSO‐IOT algorithm -- IOT‐based control system -- PV reference voltage -- PV system -- proposed MPPT algorithm -- novel PSO‐employed -- zeta converter‐based photovoltaic maximum power tracking system; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2019.1121
• Languages: English
• ISSNs: 1755-4535

Abstract

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.