Modellierung und Klassifizierung von elektrischen Energiesystemen zum Benchmarking von statischen Netzanalysen
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Date
2023
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Abstract
Die Entwicklungen im Rahmen der Energiewende führen zu einer Transformation des
elektrischen Energiesystems. Dabei ergeben sich neue Herausforderungen und Fragestellungen,
die in Forschungsaktivitäten untersucht werden. Diese Untersuchungen erfordern
häufig Analysen in Stromnetzen, wofür wiederum Netzmodelle benötigt werden. Eine
gute wissenschaftliche Praxis erfordert dabei Transparenz und Vergleichbarkeit, welche
mithilfe von Benchmark-Netzmodellen unterstützt werden kann. Diese Arbeit widmet
sich dem Prozess der Modellierung solcher Benchmark-Netzmodelle. Dabei wird zunächst
der Begriff Benchmarking im Kontext von Netzanalysen in elektrischen Energiesystemen
geschärft, da keine festgelegte Definition vorhanden ist. Zudem werden Kenngrößen zur
Charakterisierung von elektrischen Netzen analysiert, gruppiert und priorisiert. In Anlehnung
an reale Netzplanungsprozesse wird beschrieben, wie Benchmark-Netzmodelle
synthetisch und basierend auf öffentlich zugänglichen Daten generiert werden können.
Abschließend wird anhand der Erkenntnisse dargelegt, wie die Modellierung der
Niederspannungsnetzmodelle im sogenannten SimBench-Datensatz erfolgt ist. Hierzu wird der
Datensatz analysiert und bewertet sowie Potenziale und Grenzen der Daten diskutiert.
The developments in the context of the energy transition are leading to a transformation of the electrical energy system. In the process, new challenges and questions arise that are being investigated in research activities. These investigations often require analyses in electricity grids, which in turn require grid models. Good scientific practice requires transparency and comparability, which can be supported by benchmark grid models. This thesis is dedicated to the process of modeling such benchmark grid models. First, the term benchmarking is sharpened in the context of grid analyses in electric power systems, as no fixed definition is available. In addition, parameters for the characterisation of electrical grids are analysed, grouped and prioritised. Based on real grid planning processes, it is described how benchmark grid models can be generated synthetically and based on publicly available data. Finally, based on these findings, it is explained how the modelling of the low-voltage network models in the publicly so-called SimBench dataset was carried out. For this purpose, the data set is analysed and evaluated, and the potential and limitations of the data are discussed.
The developments in the context of the energy transition are leading to a transformation of the electrical energy system. In the process, new challenges and questions arise that are being investigated in research activities. These investigations often require analyses in electricity grids, which in turn require grid models. Good scientific practice requires transparency and comparability, which can be supported by benchmark grid models. This thesis is dedicated to the process of modeling such benchmark grid models. First, the term benchmarking is sharpened in the context of grid analyses in electric power systems, as no fixed definition is available. In addition, parameters for the characterisation of electrical grids are analysed, grouped and prioritised. Based on real grid planning processes, it is described how benchmark grid models can be generated synthetically and based on publicly available data. Finally, based on these findings, it is explained how the modelling of the low-voltage network models in the publicly so-called SimBench dataset was carried out. For this purpose, the data set is analysed and evaluated, and the potential and limitations of the data are discussed.
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Keywords
Energiesystem, Verteilnetz, Modellierung, Benchmark, SimBench, Referenznetz