Shelby Hall Graduate Research Forum Posters

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Description

The demand of energy in the world concerning the power industry keeps growing even with the introduction of EVs. Traditional based demand response relies on load shedding and energy storage systems. However, EVs with their battery pack can serve as mobile energy storage systems for grid services.

Development of data-driven microgrid model using survey based vehicle data to evaluate V2G and demand side management strategies to improve grid services and test emerging artificial-based control algorithms.

Publication Date

3-2026

Department

Electrical & Computer Engineering

Disciplines

Electrical and Computer Engineering

Real-Time Simulation Analysis of V2G Technique for Demand Response Using Survey Based Data Approach

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