EFFICIENT RESIDENTIAL EV CHARGING USING PHOTOVOLTAIC ENERGY AND INTELLIGENT ENERGY SCHEDULING

Abstract

As EVs become increasingly popular, the need for charging infrastructure has surged, especially for its efficiency, cost-effectiveness, and eco-friendliness. The project, Adaptive Solar-Assisted Residential EV Charging System with Intelligent Energy Management and Vehicle-to-Home Support, focuses on maximizing energy use and minimizing reliance on traditional electric distribution systems. The designed system includes a PV generation system, home loads, EV batteries, bidirectional power converters, and an adaptive control system to ensure energy management reliability and economic viability. Household loads, EVs are powered by solar energy and this reduces electricity costs and carbon emissions. A pricing-based control strategy is implemented to control the electricity tariff, the battery state of charge, and availability of renewable energy, for smart charging and discharging. When tariffs are low, the electricity generated by both solar panel and network sources is used to charge the battery, while when tariffs are high, the stored battery energy can be used to supply residential loads using the Vehicle-to-Home (V2H) function. In addition, the system has a least lncosh based control algorithm for operation of the Voltage Source Converter (VSC), which provide harmonic suppression, near-unity power factor operation, reactive power compensation and voltage regulation. MATLAB/Simulink simulations are used to test the proposed framework in a range of solar irradiance conditions, under different electricity pricing conditions, and under different load conditions. Results show that grid energy use is significantly reduced, costs of charging are reduced and peak demand is reduced, with no reduction in operation and no degradation in power quality. The proposed system is a practical and sustainable approach for future smart residential energy networks, enabling the integration of renewable energy resources, intelligent energy scheduling, and bidirectional energy flow from EVs, which will improve energy efficiency, economic advantages, and environmental sustainability.