INTELLIGENT RENEWABLE ENERGY POWERED EV CHARGING STATION WITH ADVANCED ADAPTIVE FILTERING AND VOLTAGE CONTROL

Abstract

As Electric Vehicles (EVs) rapidly grow and the demand for clean energy sources continues to rise, the need for high-tech charging infrastructure using renewable energy has increased. This project introduces an Advanced Solar PV-based Smart Electric Vehicle Charging System with Enhanced Power Quality and Grid Stability. The suggested system comprises a Solar Photovoltaic (PV) array, Battery Energy Storage System (BESS), bidirectional DC-DC converter, Voltage Source Converter (VSC), and the utility grid, which are all crucial for the efficient charging and discharging of the energy storage system. The primary goal is to increase charging efficiency, utilize renewable energy, enhance power quality, and boost overall system reliability. To utilize the PV array maximum power under the different sun irradiance conditions, a Maximum Power Point Tracking (MPPT) technique is used. In order to keep the DC-link voltage stable and to assure the smooth power transference, Second Order Sliding Mode Cascaded Controller (SOSMCC) is used. Moreover, a Linear Extended State Disturbance Observer (LESDO) is employed to estimate and compensate system disturbances for better transient response and less voltage variation. For improving the power quality, a Sparse-Aware Bias-Compensated Adaptive Filtering (SABCAF) algorithm is implemented for harmonic suppression and accurate current estimation. The proposed system is simulated and modeled using MATLAB/Simulink for various operating scenarios such as variations in solar irradiance, load disturbances and transitions from charging mode. The simulation results show that the proposed method provides better voltage regulation, lower harmonic distortion, better dynamic responses, and better charging performance than the conventional ones. The proposed system could be used in future smart-grid integrated applications for charging EVs and could be considered as a reliable and efficient system that is environmentally friendly as well.