ABSTRACT:
This work presents a smart method for a photovoltaic
grid system for electric vehicles charging station, however, it describes the
flow power through a smooth algorithm using Matlab/Simulink environment. The
consumption of electric vehicle battery is considered as a daily load for the
charging station, indeed, it is highly recommended to predict the periodic power
use in the charging station. However, the storage system is ensured through a
lithium ion battery, which provides a wider operating temperature and others
convenient characteristics. Additionally, the contribution of the electrical grid
is also combined in this architecture as a back-up plan for mutual benefits
when the photovoltaic power is unable to secure the station needs, on the one
hand and on the other hand, when the battery of the charging station is fully
charged and the photovoltaic system is able to inject an extra energy in the
grid.
KEYWORDS:
1.
Photovoltaic-Grid
System (PVGS)
2.
Electric
vehicle (EV)
3.
Charging
Station (CS)
4.
dc-dc
Converters
5.
Maximum Power
Point Tracking (MPPT)
6.
Perturb and
Observe (P&O)
SOFTWARE: MATLAB/SIMULINK
CONCLUSION:
This paper presents an intelligent process to feed a lithium ion battery in an EVCS architecture. In this regard, the effectiveness of charging the battery through numerous modes of operation has been validated by simulation results, indeed, it is interesting how fast the battery is charging under higher recharge rate. In fact, this work is inspired from a study case of a project with full specifications, for instance, the meteorological data for the PV panels design and the daily need of energy for the EVB to resize the rated capacity of the BSB. However, the contribution of the grid power remains primordial in the structure nonetheless there are some complexity issues related to the used power flow algorithms in the controller unit, and how it effects on the grid, positively and negatively both.
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