Authors: G. Pierrou, C. Valero-De La Flor, G. Hug

Published on: April 11, 2024

Impact Score: 8.2

Arxiv code: Arxiv:2404.07804

Summary

• What is new: A novel EMS algorithm for optimal EV charging scheduling at electric railway station parking lots, leveraging EV charging flexibility to manage load.
• Why this is important: Overloading due to combined EV charging and railway operations, considering renewable generation and energy storage.
• What the research proposes: An algorithm that adjusts EV charging requirements with peak load constraints in the railway EMS, ensuring efficient energy use and preventing overloading.
• Results: The proposed method effectively manages the load in practical settings under multiple scenarios, as demonstrated by a study on a Swiss railway line.

Technical Details

Technological frameworks used: Scenario-tree approach

Models used: EMS algorithm with optimization variables for EV state of charge and peak load constraints

Data used: Actual data from a railway line in Switzerland

Potential Impact

Railway operators, electric vehicle charging service providers, and renewable energy companies could significantly benefit.

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