Work

Leveraging Energy Flexibility with Electric Vehicles

Year: 2023

Type: conference-paper

Abstract: In this paper, we present an implementation of price-optimized charging based on energy flexibility. Three fleet operators determine the energy demand needed to charge battery electric vehicles (BEVs) at a specific time and share this information as so-called power corridors with an energy aggregator. The aggregation system collects the predicted power corridors from the charging systems and calculates the flexible energy demand. A trading system receives the aggregated information and returns the power prices to the aggregation system. As a result, the aggregation system calculates and delivers charge plans for each site of the fleet operator with optimized power prices to the charging systems. This study can contribute to a new energy market communication system by providing insights on how to leverage the energy flexibility BEVs can offer for a data-driven energy system.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8082543

Authors: Schert, Kelaja, Biedenbach, Florian, Müller, Thomas, Kluge, Michael, Nochta, Zoltán

Institutions: Systems, Applications & Products in Data Processing (Germany), Research Center for Energy Economics, Karlsruhe University of Applied Sciences

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: green

OpenAlex ID: W4382004455

FWCI:

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Related to: 10