Publication

Abstract : This study aims to contribute to the United Nations’ Sustainable Development Goal (SDG) 7, which promotes affordable and clean energy by investigating the potential of solar photovoltaic systems (PVS) integration into EV charging infrastructure in evolving power networks for mutual benefits. The objective is to develop a coordinated control strategy for PVS-integrated EV charging stations that ensures seamless grid interaction with enhanced power quality. It focuses on modelling and coordinated control to achieve stable grid integration. Two distinct EV charging stations are considered in this work. Station 1 employs a conventional unidirectional power flow model, drawing power from the three-phase grid’s point of common coupling (PCC). The second station utilizes a PVS-based charging infrastructure connected to the PCC via a three-phase inverter. It facilitates power exchange with the distribution grid and charging stations, which addresses the reliability concerns of the PVS-based charging infrastructure. Coordinated control of the overall system is achieved through the dual Second-Order Generalized Integral (SOGI) based voltage and load current processing loops. This research ensures that the proposed dual SOGI-based controller maintains a unity power factor, reduces total harmonic distortion to below 3%, and eliminates the need for external filters meeting high grid power quality by ensuring power transfer between the grid and any charging stations. The PVS system mitigates harmonics and fulfills the reactive power demands of station 1 and local loads, obviating the necessity for separate filters and compensators. The developed control algorithm was tested on a hardware prototype under various loads and PV side conditions, demonstrating effective harmonics mitigation, reactive power compensation, and grid current balancing. The extensive hardware analysis conducted in steady state and dynamic operating modes confirms that the presented system improves voltage stability by over 20% and cuts network losses by more than 25%, establishing its effectiveness for next-generation sustainable EV infrastructure.