Non-discriminatory distributed grid congestion management for low-voltage networks considering prosumer’s preferences: a practical approach

The expansion of renewable energy sources as part of the energy transition presents new challenges for power supply. Fluctuating energy sources such as wind and solar, along with the ongoing electrification, are increasingly stressing the power grid. Intelligent control systems can help align the consumption with the generation in the power grid and manage storage to ensure that energy is available during periods of low generation. Private vehicles offer significant storage and load shifting potential that could be utilized to address the challenges of the energy transition. This paper presents two distributed, preventive and rule-based control concepts for private charging stations. One concept strictly follows the regulatory requirements of §14a Energy Industry Act (EnWG) in Germany, while the second concept includes additional measures to enhance financial and comfort benefits for vehicle users and increase the utilization of renewable energy. Particular emphasis was placed on ensuring a non-discriminatory manner. The results show that both control concepts are able to reduce grid congestion, while the second concept has advantages for vehicle users.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1476
Primary Topic
Smart Grid Energy Management
Type
article
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0.00
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article

Non-discriminatory distributed grid congestion management for low-voltage networks considering prosumer’s preferences: a practical approach

Niklaus E. Zimmermann, Ghayathri Suriyamoorthy, Maximilian Kilthau, Felix Gehlhoff
IET conference proceedings.
Smart Grid Energy Management
article

Non-discriminatory distributed grid congestion management for low-voltage networks considering prosumer’s preferences: a practical approach

Niklaus E. Zimmermann, Ghayathri Suriyamoorthy, Maximilian Kilthau, Felix Gehlhoff
article en

Abstract

The expansion of renewable energy sources as part of the energy transition presents new challenges for power supply. Fluctuating energy sources such as wind and solar, along with the ongoing electrification, are increasingly stressing the power grid. Intelligent control systems can help align the consumption with the generation in the power grid and manage storage to ensure that energy is available during periods of low generation. Private vehicles offer significant storage and load shifting potential that could be utilized to address the challenges of the energy transition. This paper presents two distributed, preventive and rule-based control concepts for private charging stations. One concept strictly follows the regulatory requirements of §14a Energy Industry Act (EnWG) in Germany, while the second concept includes additional measures to enhance financial and comfort benefits for vehicle users and increase the utilization of renewable energy. Particular emphasis was placed on ensuring a non-discriminatory manner. The results show that both control concepts are able to reduce grid congestion, while the second concept has advantages for vehicle users.

IET conference proceedings.Vol. 2025(14)
Helmut Schmidt University (DE), Institute of Automation (DE)
Openalex Percentile: Top 71%
Smart Grid Energy Management
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Non-discriminatory distributed grid congestion management for low-voltage networks considering prosumer’s preferences: a practical approach — Niklaus E. Zimmermann, Ghayathri Suriyamoorthy, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS