AI-Driven Integration of Electric Vehicles into the Electric Power System for Indian market

Authors

  • Dr. P. Ram Kishore Kumar Reddy,Dr. P. Nagasekhar Reddy,Mr. Ch. Vinay Kumar

Keywords:

AI-driven systems; electric vehicles; energy storage optimization; hierarchical control; microgrid integration; Multi microgrid coordination; Indian electricity market.

Abstract

This paper presents a conceptual framework leveraging Artificial Intelligence (AI) for the successful integration of electric vehicles (EVs) into the electric power system, with a focus on the Indian market. The proposed framework addresses two critical domains: the technical operation of the grid and the electricity market environment. AI techniques are employed to optimize grid operations, enhance
demand-side management, and improve market efficiency.

References

Sanguesa, J. A., Torres-Sanz, V., Garrido, P., Martinez, F. J., & Marquez-Barja, J. M. (2021). A review on electric vehicles: Technologies and challenges. Smart Cities, 4(1), 372-404.

Sun, X., Li, Z., Wang, X., & Li, C. (2019). Technology development of electric vehicles: A review. Energies, 13(1), 90.

Hannan, M. A., Azidin, F. A., & Mohamed, A. (2014). Hybrid electric vehicles and their challenges: A review. Renewable and Sustainable Energy Reviews, 29, 135-150.

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Published

2023-04-21

How to Cite

Dr. P. Ram Kishore Kumar Reddy,Dr. P. Nagasekhar Reddy,Mr. Ch. Vinay Kumar. (2023). AI-Driven Integration of Electric Vehicles into the Electric Power System for Indian market . Journal of Computational Analysis and Applications (JoCAAA), 31(2), 357–365. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1791

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