A Simulation Study for Power Quality Enhancement in EV Chargers using SCP-NLMF method

Abstract

Power quality enhancement in EV chargers is essential to reduce harmonics, improve power factor, and maintain voltage stability due to the nonlinear nature of power electronic converters. It ensures grid reliability, regulatory compliance and efficient operation under high-power and fast-charging conditions. This research work focus on the design of multifunctional charging system of electric vehicles (EVs) comprising grid connection, EV batteries and residential loads. The system is designed with two way converter to control the charging and discharging of batteries and to keep the DC bus voltage constant in Electric Vehicles. A voltage source converter (VSC) is connected to the grid. It operates smoothly as it is able to control nonlinear local loads that are non-uniform. The discharging and charging process regulates the voltage and the current profiles depending on the battery state of charge (SOC). A sparse constrained proportionate normalized least mean fourth (SCP-NLMF) algorithm is used in this research work to gain better control over the system. The strategy minimizes the mean square error (MSE) by minimizing the convergence slowdown at the later stages and enhancing the estimation of the active load current component. The accuracy of SCP-NLMF approach and the effectiveness of the suggested charging system is demonstrated using MATLAB/SIMULINK