Asset Optimization and Value Enhancement of EV Charging Infrastructure under Aggregated Operation Models: Methods, Frameworks, and Practices

Authors

  • Yongnian Su Guangdong Green World Life Technology Co. Ltd., Guangzhou, Guangdong, China Author

DOI:

https://doi.org/10.71222/a3bs1m81

Keywords:

EV charging, aggregated operation, asset optimization, V2G, grid flexibility, multi-stream revenue

Abstract

The rapid growth of electric vehicles (EVs) has significantly increased the demand for efficient and profitable charging infrastructure. Traditional station-level deployment often suffers from low utilization and delayed return on investment. Aggregated operation models-integrating multi-station, multi-brand, and multi-operator networks-offer new pathways for asset optimization, cost reduction, and value enhancement. This review systematically examines the methods, frameworks, and practices of aggregated EV charging networks. Key aspects include demand and load forecasting, infrastructure capacity planning, intelligent operational control, and digital twin-based simulations. The study further explores mechanisms for CAPEX and OPEX optimization, multi-stream revenue generation, grid integration, and flexibility services such as V1G/V2G participation. Global case studies illustrate successful implementations, while challenges such as interoperability, real-time dispatch scalability, and data security are discussed. Finally, future directions including AI-driven optimization, ultra-large-scale aggregation, and cross-energy-system coordination are proposed, highlighting the strategic potential of aggregation in sustainable EV infrastructure development.

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Published

25 November 2025

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How to Cite

Su, Y. (2025). Asset Optimization and Value Enhancement of EV Charging Infrastructure under Aggregated Operation Models: Methods, Frameworks, and Practices. International Journal of Engineering Advances, 2(3), 51-65. https://doi.org/10.71222/a3bs1m81