AI-Driven Integration of Electric Vehicles into the Electric Power System for Indian market
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. The roles and activities of key stakeholders in these domains are described comprehensively. Furthermore, simulations are conducted to illustrate the potential impacts and benefits of AI-driven EV grid integration, including steady-state and dynamic behavior analyses tailored to the unique challenges of India's power system. The results underscore the transformative potential of AI in enabling sustainable EV adoption while maintaining grid reliability
and market stability. The accuracy of 95.23%, Recall of 89.23%, throughput of 91.08% and F measure of 94.36% had been attained which was good improvement.
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