An open-source tool for generating representative Dutch distribution grid models using graph similarity measures and open data

Limited access to detailed distribution grid data can limit possibilities for research into the impacts of distributed energy resources and flexibility on Dutch electricity networks. This paper presents an open-source tool that generates realistic combined medium-voltage (MV) and low-voltage (LV) grid models using open available geographic datasets from Dutch distribution system operators (DSOs), archetypal neighborhood data, and open building registries. The tool extracts MV grids, assigns cable types based on detailed analysis of DSO data on actual networks, and matches LV grids to archetypal configurations using graph-matching techniques. Generated grids are formatted in the Energy System Description Language (ESDL) for co-simulation and analysis. Validation through load flow simulation shows the tools ability to extract and generate MV grid models that accurately reflect the real network behavior.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2113
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An open-source tool for generating representative Dutch distribution grid models using graph similarity measures and open data

Gijs Verhoeven, Koen Kok, Johan Morren, Leo van Schooten
IET conference proceedings.
Power Systems and Technologies
article

An open-source tool for generating representative Dutch distribution grid models using graph similarity measures and open data

Gijs Verhoeven, Koen Kok, Johan Morren, Leo van Schooten
article en

Abstract

Limited access to detailed distribution grid data can limit possibilities for research into the impacts of distributed energy resources and flexibility on Dutch electricity networks. This paper presents an open-source tool that generates realistic combined medium-voltage (MV) and low-voltage (LV) grid models using open available geographic datasets from Dutch distribution system operators (DSOs), archetypal neighborhood data, and open building registries. The tool extracts MV grids, assigns cable types based on detailed analysis of DSO data on actual networks, and matches LV grids to archetypal configurations using graph-matching techniques. Generated grids are formatted in the Energy System Description Language (ESDL) for co-simulation and analysis. Validation through load flow simulation shows the tools ability to extract and generate MV grid models that accurately reflect the real network behavior.

IET conference proceedings.Vol. 2025(14)
Expertise Center Vocational Education (NL), Eindhoven University of Technology (NL)
Openalex Percentile: Top 71%
Power Systems and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An open-source tool for generating representative Dutch distribution grid models using graph similarity measures and open data — Gijs Verhoeven, Koen Kok, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS