The PV panels have become a ubiquitous renewable resource as it produces clean energy and needs less maintenance. However, in changing environmental conditions less power output is generated. The operating point shifts from the maximum power point (MPP) to some other point. The MPP Tracking (MPPT) controller is designed for the panels to track the changing irradiance and maintain operating point at MPP. The MPPT controller uses an algorithm which generates a dynamic duty ratio for the dc-dc converter. MATLAB simulation of the MPPT PV system using perturb and observe (P&O) algorithm is shown in this paper. In the simulation model, irradiance changes are considered while the temperature remains unchanged. A comparison between non-MPPT and MPPT output is analysed. The result verifies that MPPT algorithm boosts the efficiency of the system in changing climatic conditions and performs better than the non-MPPT system.

Due to numerous shortcomings of the existing automobiles, the future of transportation lies in Electric Vehicles (EVs). For the sustainable existence of EVs, the development of charging infrastructure based on renewable sources is necessary. Hence, this research article aims to develop a PV–grid topology-based EV charger. An experimental prototype of the EV charging station (EVCS) is developed having a modified interleaved boost converter (MIBC). The proposed charger setup is tested by charging a PV on an EV with a Li-ion battery. The MIBC proposed is analysed and compared with the conventional boost converter, which is also based on PV-grid topology. The testing verifies that the current ripples, conduction and switching losses are reduced significantly. The results conclude that the prototype charger developed is robust, efficient and reliable.