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PV Integrated Multifunctional Off-Board EV Charger With Improved Grid Power Quality.

Authors :
Lenka, Rajesh Kumar
Panda, Anup Kumar
Patel, Ranjeeta
Guerrero, Josep M.
Source :
IEEE Transactions on Industry Applications; Sep/Oct2022, Vol. 58 Issue 5, p5520-5532, 13p
Publication Year :
2022

Abstract

This article presents an adaptive notch filter (ANF) based efficient control algorithm for multifunctional grid connected solar photovoltaic (PV) powered electric vehicle (EV) charger to power the EV batteries and simultaneously improve the grid power quality. Furthermore, a multilevel topology is adopted for the grid-facing converter to improve output voltage quality. The ANF accurately estimates the fundamental EV current and grid voltage for generating pure sinusoidal reference current and synchronizing voltage template, respectively. The ANF-based voltage template estimator precisely estimates in-phase and in-quadrature synchronizing voltage templates compared to a phase-locked loop and second-order generalized integrator during nonideal grid voltage conditions. The charger is designed to operate in grid connected operation (GCO) and standalone operation (SO) to optimize the PV generation. In GCO, the charger provides grid current harmonic compensation and reactive power support to the grid. Furthermore, it offers backup power to the residential load during an emergency. The charger control algorithm also includes a grid synchronization technique based on phase error minimization to achieve a smooth and seamless transition from SO to GCO and vice versa. The effectiveness of the proposed control algorithm is validated in a 12.6-kVA off-board EV charger laboratory prototype. The obtained results verify the charger performance complies with IEEE 1547 standard. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00939994
Volume :
58
Issue :
5
Database :
Complementary Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
160651511
Full Text :
https://doi.org/10.1109/TIA.2022.3167659