Modeling Sub-transmission Grids, Impact at National and Cross-border Scale, and Topological Flexibility, Based on Real German Open Data

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Abstract

The energy transition entails a considerable increase in renewable energy sources, leading to a gradual decentralization of power injection across the grid. This evolution increases the operational importance of sub-transmission grids, also referred to as high-voltage (HV) grids, across Europe. Consequently, we propose to integrate specific HV grid areas among extra-high voltage (EHV) grid models, in order to include their interactions for national or international power flow studies. A framework is developped to quantify the impact of a local HV disaggregation among an EHV grid model at regional and national scale, as well as on cross-border exchanges capacity. However, HV units are not operated at fixed topology, system operators can apply topological actions to solve congestions. We've developed a model that enhance the usual DC OPF formulation with a representation of HV 1-move topological actions to solve congestions in HV and in EHV, at low complexity cost. The disaggregation is illustrated on the Schleswig-Holstein HV area among a real German EHV model. The OPF model, already introduced in a previous work on test grids, is demonstrated on the German real grid here, its validity for managing congestions in HV is attested, and its sensitivity is checked with a scenarisation.
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Modeling Sub-transmission Grids, Impact at National and Cross-border Scale, and Topological Flexibility, Based on Real German Open Data | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL IET Generation, Transmission & Distribution This is a preprint and has not been peer reviewed. Data may be preliminary. 12 May 2026 V1 Latest version Share on Modeling Sub-transmission Grids, Impact at National and Cross-border Scale, and Topological Flexibility, Based on Real German Open Data Authors : Louise Petit 0009-0008-5437-2383 [email protected] , Martin Hennebel [email protected] , and Hugo Nahel [email protected] Authors Info & Affiliations https://doi.org/10.22541/authorea.15003098/v1 12 views 12 downloads Contents Abstract Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The energy transition entails a considerable increase in renewable energy sources, leading to a gradual decentralization of power injection across the grid. This evolution increases the operational importance of sub-transmission grids, also referred to as high-voltage (HV) grids, across Europe. Consequently, we propose to integrate specific HV grid areas among extra-high voltage (EHV) grid models, in order to include their interactions for national or international power flow studies. A framework is developped to quantify the impact of a local HV disaggregation among an EHV grid model at regional and national scale, as well as on cross-border exchanges capacity. However, HV units are not operated at fixed topology, system operators can apply topological actions to solve congestions. We've developed a model that enhance the usual DC OPF formulation with a representation of HV 1-move topological actions to solve congestions in HV and in EHV, at low complexity cost. The disaggregation is illustrated on the Schleswig-Holstein HV area among a real German EHV model. The OPF model, already introduced in a previous work on test grids, is demonstrated on the German real grid here, its validity for managing congestions in HV is attested, and its sensitivity is checked with a scenarisation. Information & Authors Information Version history V1 Version 1 12 May 2026 Collection IET Generation, Transmission & Distribution Keywords distributed power generation power system management power transmission power system dynamic stability power system control power system analysis computing power system simulation power system stability stochastic processes transient analysis delay systems discrete time systems energy storage power systems power system security Power System Computation distributed power generation linear programming load flow network topology optimisation power generation dispatch power transmission renewable energy sources sensitivity analysis transmission network calculations AC-AC power convertors AC-DC power convertors power systems power system security Power System Computation power system dynamic stability power system control power system analysis computing power system simulation power system stability stochastic processes transient analysis delay systems discrete time systems energy storage distributed power generation power system management power transmission Authors Affiliations Louise Petit 0009-0008-5437-2383 [email protected] GeePs, Gif-sur-Yvette, France View all articles by this author Martin Hennebel [email protected] GeePs, Gif-sur-Yvette, France View all articles by this author Hugo Nahel [email protected] GeePs, Gif-sur-Yvette, France View all articles by this author Metrics & Citations Metrics Article Usage 12 views 12 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Louise Petit, Martin Hennebel, Hugo Nahel. Modeling Sub-transmission Grids, Impact at National and Cross-border Scale, and Topological Flexibility, Based on Real German Open Data. Authorea . 12 May 2026. DOI: https://doi.org/10.22541/authorea.15003098/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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