This work presents the grid interactive charging station (CS) for electric vehicles (EVs) with improved power quality. The charging station comprises of multiple photovoltaic (PV) array with parallel voltage source converters (VSCs) coupled at point of common coupling (PCC). The main PV array is integrated to the grid via VSC with the battery storage bank. Other PV array along with VSC is used for the ancillary purpose. The charging station performs multiple objectives, i.e., grid to vehicle (G2V) without renewable generation, vehicle to grid (V2G) with and without PV source and under nonlinear load dynamics with grid interactive mode. The DC bus voltage is regulated via bidirectional converter by cascaded proportional integral (PI) controller for main VSC. However, for the ancillary VSC, the DC bus voltage is stabilized by integrating PI control with zero attracter joint optimization-based normalized least mean square (ZAJO-NLMS)-based algorithm. The ZAJO-NLMS controller is used for extraction of fundamental load current to control the CS. The comparative study of the proposed adaptive filter is also done with the LMS and NLMS adaptive filters for the proposed CS. The operational function of charging station is validated from the presented results. From the results, it is observed that the net extracted power from the PV arrays to the prime and ancillary VSC is 11 kW at 1000 W/m2. However, the power consumed by the load is 1.07 kW and 2.52 kW power is used to charge the EV battery. Therefore, the remaining 7.5 kW power is supplied to the grid. However, the grid and battery powers vary depending upon the V2G, G2V, insolations and load change operations.