The potential of vehicle-to-grid (V2G) devices is explored as a means of mitigating the intermittent nature of large-scale wind generation. The process begins with the planning and modelling of an energy management and efficiency system. The desired amount of grid-connected wind power, the amount of power needed for electric vehicles (EVs), and the amount of power stored in supercapacitors are all determined using the wavelet packet decomposition technique. The knapsack issue is then used to create the energy management model for EVs, which can assess the requirements of an EV fleet. In addition, a dynamic programming technique is used to create a delivery strategy that is tailored for the use of electric vehicles and wind power. A case study demonstrates that the energy management and optimization method for V2G systems achieves noticeable performance improvements over benchmark techniques. Based on the results of a case study, it is clear that the energy management and optimization approach for V2G systems significantly outperforms the standard methods.