Power Management Procedures of Electric Vehicle Charging Station Based Grid Tied PV-Battery System

ABDELILAH HASSOUNE, MOHAMED KHAFALLAH, ABDELOUAHED MESBAHI, TARIK BOURAGBA

Abstract


This paper proposes a power management procedure for a grid tied PV storage system in electric vehicle charging station (EVCS). The procedure is designed to be implemented in the power control system of the CS. The control proceeds depending on the integration of renewable energy sources by adopting an optimization algorithm, in order to minimize stress on existing power and to reduce the cost of consumed energy based on the electrical grid in standalone mode. This work explains in detail the approach via simulation results of a 15kW PV-Grid system connected with 40kWh lithium-ion battery and a load flow of five EVs. A digital technology aimed to assign a reliable data communication between the CS and the plugged EV is described in this research through a power predictive model. Otherwise, various parameters are involved in this approach to set the optimal operation mode of a charging process for instance, the instantaneous power of the PV array, the available energy in the battery storage buffer and the limited power the grid can offer. MPPT algorithm followed by error regulation to control the boost converter switch, the voltage source converters (VSC) for the inverter and also the current control loop for charging storage buffer are all pillars to build an efficient power forecasting model. To test the validation of the model, simulation results of several charging scenarios express the effectiveness of the proposed CS effectively.

Keywords


renewable energy; solar energy; Li-ion Batteries

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DOI (PDF): https://doi.org/10.20508/ijrer.v8i2.7474.g7372

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