Residential EV Charging System with Solar Assistance and Price-Adaptive Control

The proposed solar-assisted residential electric vehicle charging system with price adaptive control demonstrates an effective solution for addressing the increasing challenges associated with EV charging, renewable energy integration, grid stress, and electricity cost optimization. The developed system successfully integrates photovoltaic generation, residential loads, electric vehicle batteries, and adaptive energy management strategies to ensure reliable and efficient operation under varying environmental and operating conditions. Through the implementation of dynamic price-based control, the charging behavior of electric vehicles is intelligently adjusted according to electricity tariff variations, thereby minimizing energy costs while improving grid stability. The proposed control framework effectively utilizes vehicle-to-home (V2H) functionality during peak demand periods, enabling EV batteries to support household loads and reduce dependency on utility power. Simulation and experimental investigations confirm that the system maintains stable operation under changing solar irradiance, load disturbances, and fluctuating electricity prices while preserving power balance and operational reliability. Furthermore, the application of the least lncosh control algorithm significantly enhances power quality by reducing harmonic distortion, improving current waveform quality, and maintaining near-unity power factor operation.   Comparative analysis verifies that the proposed controller provides faster convergence, improved disturbance rejection, and superior dynamic performance compared with conventional approaches. The results also demonstrate improved renewable energy utilization, lower grid energy consumption, and enhanced system flexibility. Overall, the proposed architecture offers a practical, economical, and sustainable charging solution capable of supporting future smart residential energy systems while contributing toward reduced emissions, improved energy efficiency, and enhanced charging infrastructure reliability.

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