Optimization model for simultaneous controlled charging of electric vehicles in distribution grids in rural, suburban and urban areas

The energy demand of future electromobility poses new challenges for distribution grids due to critical load peaks. Integrating electric vehicles (EVs) into the energy system by controlled charging could offer additional flexibility for the overall system yet may increase the peak loading in the distribution grid. We therefore developed and implemented a modular optimization model representing the simultaneous controlled charging of multiple EVs in one defined branch of a distribution grid from a combined aggregator and grid perspective. The objective consists of minimizing the costs to provide electrical energy to fully recharge all EVs connected to that grid branch during a full year, either in perfect foresight or by applying a rolling horizon with a 36h/24h scheme. The time intervals of connection to the power grid are explicitly modelled as well as the grid limitations.

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Publication Details

Journal
IET conference proceedings.
Published
2024-12-12
DOI
https://doi.org/10.1049/icp.2024.3750
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
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article

Optimization model for simultaneous controlled charging of electric vehicles in distribution grids in rural, suburban and urban areas

Marco Sebastian Breder, Christoph Weber, Florian Boehnke, Alexander Hofmann
2 links
IET conference proceedings.
Electric Vehicles and Infrastructure
article

Optimization model for simultaneous controlled charging of electric vehicles in distribution grids in rural, suburban and urban areas

Marco Sebastian Breder, Christoph Weber, Florian Boehnke, Alexander Hofmann
article en

Abstract

The energy demand of future electromobility poses new challenges for distribution grids due to critical load peaks. Integrating electric vehicles (EVs) into the energy system by controlled charging could offer additional flexibility for the overall system yet may increase the peak loading in the distribution grid. We therefore developed and implemented a modular optimization model representing the simultaneous controlled charging of multiple EVs in one defined branch of a distribution grid from a combined aggregator and grid perspective. The objective consists of minimizing the costs to provide electrical energy to fully recharge all EVs connected to that grid branch during a full year, either in perfect foresight or by applying a rolling horizon with a 36h/24h scheme. The time intervals of connection to the power grid are explicitly modelled as well as the grid limitations.

IET conference proceedings.Vol. 2024(15)
University of Duisburg-Essen (DE)
Sustainable cities and communities
Openalex Percentile: Top 80%
Electric Vehicles and Infrastructure
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Optimization model for simultaneous controlled charging of electric vehicles in distribution grids in rural, suburban and urban areas — Marco Sebastian Breder, Christoph Weber, et al. · IET conference proceedings. (2024) | TGRS Research Map | TGRS