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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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European Archetype Distribution Grid Models

Authors: Masuch, Marius; Rehtanz, Christian;

European Archetype Distribution Grid Models

Abstract

This database contains publicly available representative European archetype distribution grid models, which where identified through an extensive literature review. All included grid models were converted into a standardised data format. The collection of identified grid models from the literature was also expanded through the creation of new grid models for Finland and the Netherlands. Currently, the databse covers grid models for the following regions: Germany Kerber Networks (Kerber, 2011) Synthetic Voltage Control LV Networks (Lindner et al, 2016) SimBench (Meinecke et al, 2020) Spain Spanish MV Grid Model (Buigues Beraza, 2011) UK Low Voltage Network Models (Espinosa, 2015a/b) UKGDS (SEDG, no date) Finland Finland LV Grids Model (Newly generated) Netherland Dutch MV grids (Newly generated) Europe (general European grid models) European representative Electricity Distribution Grids (Mateo et al, 2018) Non-Synthetic Test Systems of European Distribution Networks (Taye et al, 2024) The database is part of the deliverable D8.2 of the DriVe2X project. The accompanying report for D8.2 provides a detailed description of the database structure and the created data format. Additionally, it introduces all grid models included as of the publication date. Some grid models from the literature required minor adjuistments to be integrated into the database. Detailed information about these adjustment is also provided in the D8.2 report. The report is currently being prepared and will be made available from the project download section as soon as it is published. Please note: Despite great care, there is no claim to completeness and correctness of the grid models contained in this database. References DriVe2X website: LinkCordis website: Linkie³ institute: Link ------ Kerber, G. (2011). Aufnahmefähigkeit von Niederspannungsverteilnetzen für die Einspeisung aus Photovoltaikkleinanlagen (Doctoral dissertation, Technische Universität München). Lindner, M., Aigner, C., Witzmann, R., Wirtz, F., Berber, I., Gödde, M., & Frings, R. (2016). ‚Aktuelle Musternetze zur Untersuchung von Spannungsproblemen in der Niederspannung‘, 14. Symposium Energieinnovation. Meinecke, S., Drauz, S., Bornhorst, N., Spalthoff, C., Lauven, L.P., Cronbach, D., Menke, J.H., Kneiske, T., Braun, M., Klettke, A., Sarajlić, D., Sprey, J., Kittl, C., van Leeuwen, T., Rehtanz, C., Moser, A. (2020). Simbench-dokumentation, dokumentationsversion de-1.0. 1, elektrische benchmarknetzmodelle. Buigues Beraza, G. (2011). Metodología para la detección y localización de faltas en redes de distribución con puesta a tierra activa (Doctoral dissertation, Universidad del País Vasco-Euskal Herriko Unibertsitatea). Espinosa, A. N. (2015). Dissemination Document “Low Voltage Networks Models and Low Carbon Technology Profiles”. Espinosa, A. N. (2015). Low carbon technologies in low voltage distribution networks: probabilistic assessment of impacts and solutions. Centre for Sustainable Electricity and Distributed Generation (SEDG) (no date) UKGDS [Online]. Available at: https://github.com/sedg/ukgds (Accessed: 08 March 2024) Mateo, C., Prettico, G., Gómez, T., Cossent, R., Gangale, F., Frías, P., & Fulli, G. (2018) 'European representative electricity distribution networks', International Journal of Electrical Power & Energy Systems, 99, 273-280. Taye, T., Mohamed, B., Suarez-Ramon, L., & Arboleyá, P. (2024) 'A set of Non-Synthetic test systems of European LV Rural, LV urban and hybrid MV/LV industrial distribution networks', International Journal of Electrical Power & Energy Systems, 158, 109941.

Keywords

European Archetype Grids, Distribution Grid Models, Electricity Grid Simulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average