The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids

Mueller, Ulf Philipp; Wienholt, Lukas; Kleinhans, David; Cussmann, Ilka; Bunke, Wolf-Dieter; Pleßmann, Guido; Wendiggensen, J.

doi:10.1088/1742-6596/977/1/012003

Cited by 15 publications

(30 citation statements)

References 11 publications

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“…It provides a wide range of data at one place, is easily accessible, clean and ready-to-use, permanently available and versioncontrolled. The large number of users -around 100, 000 unique visitors during 2017) -and, more importantly, the amount of research that makes use of OPSD -26 published papers by the time of writing since the go-live in late 2016, out of which 12 are published papers in high quality journals indexed in the SCI/SSCI [13,[40][41][42][43][44][45][46][47][48][49][50] and 14 in other journals, conference papers, books and grey literature [51][52][53][54][55][56][57][58][59][60][61][62][63][64] -suggest that the platform fulfils a need and provides value to electricity system modellers.…”

Section: Discussion and Outlookmentioning

confidence: 99%

Open Power System Data – Frictionless data for electricity system modelling

et al. 2019

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The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of input data for modelling has the character of a public good: it reduces overall societal costs for quantitative energy research as redundant work is avoided, and it improves transparency and reproducibility in electricity system modelling. This paper describes the Open Power System Data platform that aims at realising the efficiency and quality gains of centralised data provision by collecting, checking, processing, aggregating, documenting and publishing data required by most modellers. We conclude that the platform can provide substantial benefits to energy system analysis by raising efficiency of data pre-processing, providing a method for making data pre-processing for energy system modelling traceable, flexible and reproducible and improving the quality of original data published by data providers.

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Section: Discussion and Outlookmentioning

confidence: 99%

Open Power System Data – Frictionless data for electricity system modelling

et al. 2019

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“…Moreover, the selection of MV grids was systematically determined and used for generalization (Section 3.3.2). All of these methods are based on a data model that is mainly described and partly validated in previous works [14,41,42]. Recently, [6,43] used that same data basis.…”

Section: Methodsmentioning

confidence: 99%

“…The developed EHV/HV grid topology model for Germany is based on OSM data and is created with the heuristic abstraction tool osmTGmod [52]. By revising the tool, the 110 kV grid was integrated into the grid topology [14]. All existing border crossing power lines of the neighbouring countries are connected to the detailed German grid model with respect to their voltage level.…”

Section: Data Modelmentioning

confidence: 99%

“…LV grids are modeled as radial networks using reference grids from [53,54]. The in-depth scientific explanations of the EHV/HV power grids [14] and the MV grid models [42] specify the further methods and assumptions leading to suitable data sets for the power grid planning tools. In comparison to standard transmission grid planning, the voltage level of 110 kV is included in the top level optimization of eTraGo.…”

Section: Data Modelmentioning

confidence: 99%

“…Last but not least, the energy transition displays a fundamental societal effort which may be better addressed in a transparent way to raise public acceptance for scientifically reasonable changes. Recently these aspects have been addressed more often in energy research gaining greater relevance (e.g., [11][12][13][14][15]).…”

Section: Introductionmentioning

confidence: 99%

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Integrated Techno-Economic Power System Planning of Transmission and Distribution Grids

et al. 2019

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The energy transition towards renewable and more distributed power production triggers the need for grid and storage expansion on all voltage levels. Today’s power system planning focuses on certain voltage levels or spatial resolutions. In this work we present an open source software tool eGo which is able to optimize grid and storage expansion throughout all voltage levels in a developed top-down approach. Operation and investment costs are minimized by applying a multi-period linear optimal power flow considering the grid infrastructure of the extra-high and high-voltage (380 to 110 kV) level. Hence, the common differentiation of transmission and distribution grid is partly dissolved, integrating the high-voltage level into the optimization problem. Consecutively, optimized curtailment and storage units are allocated in the medium voltage grid in order to lower medium and low voltage grid expansion needs, that are consequently determined. Here, heuristic optimization methods using the non-linear power flow were developed. Applying the tool on future scenarios we derived cost-efficient grid and storage expansion for all voltage levels in Germany. Due to the integrated approach, storage expansion and curtailment can significantly lower grid expansion costs in medium and low voltage grids and at the same time serve the optimal functioning of the overall system. Nevertheless, the cost-reducing effect for the whole of Germany was marginal. Instead, the consideration of realistic, spatially differentiated time series led to substantial overall savings.

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Measurement data‐driven investigation of the actual power grid resilience with increasing renewable energy feed‐in

Schädler

Sorg

Fischer

2021

Energy Science & Engineering

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The transformation of the energy system towards a sustainable reduction of CO2 emissions and the consequently rising contribution of fluctuating energy sources to the German energy system leads to new challenges. In particular, the sufficiency of the present powerline system is of interest. To evaluate the German network sufficiency, a data‐based modelling is used to measure the number of intervals with insufficient transport capabilities as well as the yearly sum of infeasible power transports. In order to do so, the actual residual loads are calculated from the power data in the database “GEOWISOL” and the data on the German power grid are obtained from the project “SciGrid.” The temporal resolution of power data is 15 min, and the spatial resolution refers to the 2‐digit ZIP code regions. The present transmission network is shown to be insufficient in a linearly increasing number of intervals for scenarios with increasing renewable power production. The uncertainties of the results presented are also investigated by means of a Monte Carlo simulation with the known uncertainties of the power data. The simulation results in a relative uncertainty for the number of intervals with insufficient transport capabilities of the network of roughly 1%. Thus, it can be used in the future either to investigate network expansion plans or to validate network expansion studies with simulated data or synthetic networks.

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The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids

Cited by 15 publications

References 11 publications

Open Power System Data – Frictionless data for electricity system modelling

Open Power System Data – Frictionless data for electricity system modelling

Integrated Techno-Economic Power System Planning of Transmission and Distribution Grids

Measurement data‐driven investigation of the actual power grid resilience with increasing renewable energy feed‐in

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