Title:Design and Implementation of Grid Connected Solar/Wind/Diesel Generator Powered Charging Station for Electric Vehicles with Vehicle to Grid Technology Using IoT
VOLUME: 13 ISSUE: 1
Author(s):S. Divyapriya*, A. Amudha and R. Vijayakumar
Affiliation:Department of EEE, Divyapriya S, Karpagam Academy of Higher Education, Coimbatore, Department of EEE, Dr. Amudha A, Karpagam Academy of Higher Education, Coimbatore, Department of EEE, Vijayakumar R, SNS College of Technology, Anna University, Coimbatore
Keywords:Charging station, charging priority, electric vehicle (EV), internet of things (IoT), raspberry Pi controller,
solar/wind/diesel generator, vehicle to grid (V2G).
Abstract:In this paper grid connected Solar/Wind/Diesel generator powered Electric Vehicle
(EV) charging station with Vehicle to Grid (V2G) is designed. Solar/Wind/Diesel generator powered
charging station consists of a Photovoltaic array and Wind Energy system, three
unidirectional converters, Maximum Power Point Tracker(MPPT), Raspberry Pi controller, 20
Bidirectional DC/DC converter associated with 20 Electric Vehicle charging station. Three phase
bidirectional DC/AC (Direct Current/Alternating Current) converter is connected to the grid. The
main contribution of this work is to design EV charging station, in addition to charging priority set
with respect to State of Charge (SOC) level of EV’s battery. If the availability of Solar/Wind
power is sufficient to charge the connected EV’s, then they are charged with Solar/Wind. If the
demand is increased, power is extracted from the Diesel at peak load time and from the grid at
base load time. Once the vehicle is plugged in charging station the customer can either buy or sell
the power. If buy option is opted for, the priority of charging EVs battery is set in the ascending
order of the battery’s SOC level. As a result, Energy Management is effectively done and every
customer can be satisfied. If sell option is opted for, the power is extracted from the vehicles to the
grid, based on customers willingness of selling power. All control functions are done by Raspberry
Pi controller. The whole process is monitored and controlled by using Internet of Things
(IoT). Simulation is done through the MATLAB /SIMULINK and thus the results give good performance
of the proposed method.
