eTraGo stands for electric Transmission Grid optimization.
The python package eTraGo provides optimization strategies of flexibility options for transmission grids based on PyPSA. A peculiarity in this context is that the German transmission grid is described by the 380, 220 and 110 kV voltage levels. Conventionally the 110kV grid is part of the distribution grid. The integration of the transmission and ‘upper’ distribution grid is part of eTraGo.
The focus of optimization are flexibility options with a special focus on energy storage and grid expansion measures.
The OpenEnergy Platform¶
Within the open_eGo project we developed the OpenEnergy Platform which this software is using in order to get and store the in- and output data. Before you start to calculate a registration on the platform is needed. For more information see openenergy-platform and login.
The OpenEnergy platform mainly addresses students, researchers and scientists in the field of energy modelling and analytics as well as interested persons in those fields. The platform provides great tools to make your energy system modelling process transparent. All data of the open_eGo project are stored at this platform. Learn more about the database access.
The python package eDisGo provides a toolbox for analysis and optimization of distribution grids. It is closely related to the python project Ding0 as this project is currently the single data source for eDisGo providing synthetic grid data for whole Germany. Learn more here.
The python package eGo is a toolbox and application which connects the tool eTraGo (optimization of flexibility options at transmission grid level) and eDisGo (optimization of distribution grids). All those python packages were initially developed in the research project open_eGo. Learn more here.
Data model creation¶
For the eGon project the python-tool eGon-data was implemented, which creates input data for the optimization tools eTraGo, ding0 and eDisGo and delivers for example data on grid topologies, demands/demand curves and generation capacities in a high spatial resolution. The outputs of egon-data are published under open source and open data licenses.
eGon-data is a further development of the Data processing developed in the former research project open_eGo. It aims for an extensions of the data models as well as for a better replicability and manageability of the data preparation and processing. The resulting data set serves as an input for the optimization tools eTraGo, ding0 and eDisGo and delivers for example data on grid topologies, demands/demand curves and generation capacities in a high spatial resolution. The outputs of egon-data are published under open source and open data licenses.
The DIstribution Network GeneratOr (Ding0) is a tool to generate synthetic medium and low voltage power distribution grids based on open (or at least accessible) data. Learn more here.
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