ADAPTIVE SLIDING MODE CONTROLLED SOLARINTEGRATED RESIDENTIAL EV CHARGING SYSTEM WITH REAL-TIME PRICING OPTIMIZATIONID: 2328 Abstract :The Rapid Penetration Of Electric Vehicles (EVs) In Residential Environments Significantly Increases Energy Demand And Introduces Operational Challenges For Distribution Grids, Especially During Peak Tariff Periods. This Paper Proposes An Advanced Solar-assisted Residential EV Charging Architecture Employing A Sliding Mode Control (SMC) Strategy Combined With Real-time Electricity Price-based Optimization For Intelligent Energy Management. The System Integrates Rooftop Photovoltaic (PV) Generation, A Bidirectional DC– DC Converter, Battery Energy Storage, And EV Charging Infrastructure To Enable Flexible Power Flow Between The Grid, Storage, And Load. The SMC Technique Ensures Robust Regulation Of DC-link Voltage And Charging Current Under Varying Solar Irradiance, Load Disturbances, And Grid Fluctuations, Outperforming Conventional Control Methods In Dynamic Conditions. A Dynamic Pricing-based Scheduling Mechanism Is Incorporated To Prioritize Renewable Energy Utilization And Battery Discharge During High-cost Intervals While Permitting Griddependent Charging During Low-price Periods. Simulation Validation Carried Out In MATLAB/Simulink Demonstrates Enhanced System Stability, Reduced Peak Grid Dependency, Improved Energy Efficiency, And Notable Cost Savings. The Proposed Framework Provides A Resilient, Economical, And Scalable Solution For Next-generation Smart Residential EV Charging Systems Integrated With Renewable Energy Sources. |
Published:01-4-2026 Issue:Vol. 26 No. 4 (2026) Page Nos:1-6 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to CitePedda Reddy P, P Abdul Nabi, Dr. K Chitambaraiah Setty, ADAPTIVE SLIDING MODE CONTROLLED SOLARINTEGRATED RESIDENTIAL EV CHARGING SYSTEM WITH REAL-TIME PRICING OPTIMIZATION , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(4), Page 1-6, ISSN No: 2250-3676. |