Co-simulation approach for optimizing flexibility usage in an agent-based discrete-event simulation environment

The increasing amount of distributed energy generation and controllable loads is changing the use of distribution grids, which potentially results in grid congestions and necessitates grid expansion. But this transformation creates also flexibility, that can avoid grid congestions through the use of energy management systems. To integrate comprehensive grid models, fast simulation capabilities, and flexible incorporation of new methods, we present a two-stage hierarchical energy management system using an existing discrete-event distribution grid simulation within a co-simulation framework. In the bottom layer local energy management units control connected PV plants, loads and battery storages. Flexibility options are aggregated from the underlying assets and passed to a central energy management unit. The collected flexibility options are allocated by this entity to mitigate grid congestions while the individual behaviour of local energy management units is accounted for.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2234
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Co-simulation approach for optimizing flexibility usage in an agent-based discrete-event simulation environment

Sebastian Peter, Thomas Oberließen, Christian Rehtanz, Jiahan Bao et al.
IET conference proceedings.
Simulation Techniques and Applications
article

Co-simulation approach for optimizing flexibility usage in an agent-based discrete-event simulation environment

Sebastian Peter, Thomas Oberließen, Christian Rehtanz, Jiahan Bao, Daniel Feismann
article en

Abstract

The increasing amount of distributed energy generation and controllable loads is changing the use of distribution grids, which potentially results in grid congestions and necessitates grid expansion. But this transformation creates also flexibility, that can avoid grid congestions through the use of energy management systems. To integrate comprehensive grid models, fast simulation capabilities, and flexible incorporation of new methods, we present a two-stage hierarchical energy management system using an existing discrete-event distribution grid simulation within a co-simulation framework. In the bottom layer local energy management units control connected PV plants, loads and battery storages. Flexibility options are aggregated from the underlying assets and passed to a central energy management unit. The collected flexibility options are allocated by this entity to mitigate grid congestions while the individual behaviour of local energy management units is accounted for.

IET conference proceedings.Vol. 2025(14)
TU Dortmund University (DE)
Openalex Percentile: Top 66%
Simulation Techniques and Applications
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Co-simulation approach for optimizing flexibility usage in an agent-based discrete-event simulation environment — Sebastian Peter, Thomas Oberließen, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS