Performance Evaluation of Electric Vehicle Charging Infrastructure Integrated with Smart Grid Technology

Karthik Srinivasan², Dr. Neha Patel³

¹ Department of Electrical and Electronics Engineering, SV Engineering College, Chennai, India

Abstract

The swift uptake of electric vehicles (EVs) is reshaping the global transportation and energy landscapes, requiring the establishment of a strong charging infrastructure to accommodate extensive EV adoption. The integration of EV charging systems with smart grid technology has surfaced as a viable approach to tackle issues concerning grid stability, energy efficiency, and demand-side management. This research article delivers an in-depth performance assessment of EV charging infrastructure combined with smart grid technology, focusing on system architecture, optimization methods, and operational effectiveness. The study investigates crucial factors such as grid reliability, power quality, energy management, communication delays, load balancing, and scalability within smart charging networks. A systematic review of the literature uncovers technological progress in vehicle-to-grid (V2G), Internet of Energy (IoE), cloud-based energy management platforms, and AI-driven optimization models. The methodological analysis involves modeling smart charging infrastructure using simulation frameworks based on load-flow analysis and the integration of distributed energy resources. The proposed system design features both centralized and decentralized control architectures, bidirectional power flow, renewable energy integration, and IoT-enabled real-time monitoring. Performance evaluation metrics, including peak load reduction, voltage deviation, system losses, latency, and cost efficiency, are examined to measure the impact of smart grid-enabled EV charging networks. The findings reveal that intelligent scheduling, dynamic load balancing, and predictive energy management significantly boost infrastructure performance and grid resilience. The study also underscores the importance of communication technologies, cybersecurity frameworks, and cloud-based analytics in maintaining secure and scalable charging ecosystems. The research concludes that merging EV charging infrastructure with smart grid technology greatly enhances operational efficiency, reliability, and sustainability. Nonetheless, challenges related to interoperability, standardization, data privacy, and infrastructure investment persist as significant research gaps. The insights provided are valuable for policymakers, utilities, and researchers aiming to develop future-ready EV charging networks in line with smart grid paradigms.

 Keywords

Electric Vehicles (EVs); Intelligent Grid; Charging Network; Vehicle-to-Grid (V2G); Energy Control Systems; Intelligent Charging; Grid Connection; Performance Assessment; Demand Reaction; Distributed Energy Assets.