Toward a Digital Twin of the Dutch EHV Network: Analyzing Future Multi-Energy Scenarios

The integration of variable renewable energy sources (VRES) into the Dutch transmission network is imperative for transitioning to a sustainable energy future. However, incorporating large-scale VRES poses significant monitoring and control challenges, such as fluctuating power flows and grid stability concerns. This manuscript examines the role of digital twins as modern tools for supervising and controlling power systems. This work also presents the development of a synthetic digital model of the Dutch extra-high-voltage (EHV) network to analyze steady-state performance under high VRES penetration scenarios for 2030. Using DIgSILENT PowerFactory, automated by Python scripting, this study offers insights into the impacts of VRES and electrolyzers in power networks. By creating and analyzing various future scenarios, this research evaluates the effectiveness of digital models in scenario analysis, marking a significant step toward the implementation of comprehensive digital twins for future energy system planning and optimization.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863095
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.70
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article

Toward a Digital Twin of the Dutch EHV Network: Analyzing Future Multi-Energy Scenarios

José L. Rueda, Anders Roos, Jonathan Aviles-Cedeno
2 citations
Digital Transformation in Industry
0.70
article

Toward a Digital Twin of the Dutch EHV Network: Analyzing Future Multi-Energy Scenarios

José L. Rueda, Anders Roos, Jonathan Aviles-Cedeno
article en
2 citations

Abstract

The integration of variable renewable energy sources (VRES) into the Dutch transmission network is imperative for transitioning to a sustainable energy future. However, incorporating large-scale VRES poses significant monitoring and control challenges, such as fluctuating power flows and grid stability concerns. This manuscript examines the role of digital twins as modern tools for supervising and controlling power systems. This work also presents the development of a synthetic digital model of the Dutch extra-high-voltage (EHV) network to analyze steady-state performance under high VRES penetration scenarios for 2030. Using DIgSILENT PowerFactory, automated by Python scripting, this study offers insights into the impacts of VRES and electrolyzers in power networks. By creating and analyzing various future scenarios, this research evaluates the effectiveness of digital models in scenario analysis, marking a significant step toward the implementation of comprehensive digital twins for future energy system planning and optimization.

Delft University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 23%
Digital Transformation in Industry
0.70
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Toward a Digital Twin of the Dutch EHV Network: Analyzing Future Multi-Energy Scenarios — José L. Rueda, Anders Roos, et al. · (2024) | TGRS Research Map | TGRS