Impact of Shared Electric Vehicles Availability to Provide Peak Reduction through Vehicle-to-Grid. A Case Study

Menendez Agudin, A.; Jaikumar, Kalpesh; Chandra Mouli, G.R.; Slaifstein, D.A.; Pool, Jeroen; Bauer, P.

doi:10.1109/IECON51785.2023.10312448

Impact of Shared Electric Vehicles Availability to Provide Peak Reduction through Vehicle-to-Grid. A Case Study

Conference paper (2023)

Authors

A. Menendez Agudin DC systems, Energy conversion & Storage -

Kalpesh Jaikumar Student

G.R. Chandra Mouli DC systems, Energy conversion & Storage -

D.A. Slaifstein DC systems, Energy conversion & Storage -

Jeroen Pool HET Cooperatie

P. Bauer DC systems, Energy conversion & Storage -

Research Group

DC systems, Energy conversion & Storage () (TU Delft)

DOI: https://doi.org/10.1109/IECON51785.2023.10312448

Electric Vehicle Vehicle to Grid Peak Reduction

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http://resolver.tudelft.nl/uuid:1f630666-135c-4f51-a5e5-ea515e05eb99

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Published Date

2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

Abstract

This paper presents a Mix Integer Linear Programming (MILP) optimization approach to reduce peak demand and maximize revenue in a grid-connected building with a PV-equipped charging station for Shared EVs. The study investigates the impact of EV availability on the effectiveness of the system by comparing the results for different connection times of a fleet of Shared EVs, a private EV used for commuting, and a stationary battery. Results from the case study conducted in The Netherlands demonstrate that not only the duration but also the timing of EV connection significantly influence system effectiveness, emphasizing the need for accurate availability estimation. The trade-off between peak reduction and Peak-to-Average Ratio (PAR) reduction is also highlighted, underscoring the importance of considering both factors for optimizing charging station usage. These findings provide valuable insights for optimizing energy management, reducing peak loads, and increasing the utilization of renewable energy sources in the context of Shared EVs and V2G technology.

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