Authors: Stavros Orfanoudakis, Cesar Diaz-Londono, Yunus E. Yılmaz, Peter Palensky, Pedro P. Vergara

Published on: April 02, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2404.01849

Summary

• What is new: Introduces EV2Gym, a simulator with a depth in modeling Vehicle-to-Grid scenarios unlike existing simulators.
• Why this is important: The rise in electric vehicles (EVs) strains the existing charging and power grid infrastructure.
• What the research proposes: EV2Gym, a realistic simulator platform for developing and assessing smart charging algorithms that can handle both small and large-scale scenarios.
• Results: Provides a customizable and standardized environment for the advancement and assessment of smart charging solutions using real data.

Technical Details

Technological frameworks used: Gym environment for Reinforcement Learning

Models used: Comprehensive EV, charging station, power transformer, and EV behavior models

Data used: Real data for validating models

Potential Impact

Electric vehicle manufacturers, charging infrastructure companies, utility providers, and smart grid technology firms

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