ABSTRACT:
This paper presents an experimental control strategy of electric vehicle charging system composed of photovoltaic (PV) array, converters, power grid emulator and programmable DC electronic load that represents Li-ion battery emulator. The designed system can supply the battery at the same time as PV energy production. The applied control strategy aims to extract maximum power from PV array and manages the energy flow through the battery with respect to its state of charge and taking into account the constraints of the public grid. The experimental results, obtained with a dSPACE 1103 controller board, show that the system responds within certain limits and confirm the relevance of such system for electric vehicle charging.
KEYWORDS:
1. Renewable energy integration
2. Photovoltaic
3. Battery
electric vehicles
4. Public
grid
5. Control charging system
SOFTWARE: MATLAB/SIMULINK
CONCLUSION:
Smart grid with renewable
electricity integrated concerns both the utility companies as well as the
end-users. In the next ten years, the smart grid could concern the residential
level with house power “routers”, whose goal is to intelligently manage and
supply every home appliance by minimizing and redirecting the overall
consumption. The prime goal of utility companies could be the real time demand
management in order to adjust their electricity generation, for end user it
could be the real time control of energy use, like EV charging system.
An experimental EV charging with PV
grid-connected system control strategy was presented. The system control strategy
aims to extract maximum power from PV array and manages the energy flow through
the BEV, with respect to its SOC. The experimental results are obtained
with a numerical modelling implemented under MATLAB-Simulink and a dSPACE 1103
controller board. In this work, a simple and quick to implement control was
done. This control was not necessarily developed to improve global energy
efficiency or life cycle of the BEV system. For this first approach, the
goal was to verify the feasibility of the proposed system control. The results
show that the system can supply a BEV at the same time as PV energy
production and responds within certain limits of the PV power and public grid
availability. Obtained test results indicate that the proposed control can successfully
be used for buildings and car parking equipped with PV power plant.
The further work is the modelling of the behaviour of EV charging with PV grid-connected system as an operating subsystem under the supervision device as a control-command subsystem. The chosen approach will take into account the uncertainties on PV power production, public grid availability and BEV request, in order to achieve more efficient power transfer with a minimized public grid impact.
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