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Extend docs for eHV/HV grid topology
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IlkaCu committed Aug 14, 2023
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32 changes: 23 additions & 9 deletions docs/data/electricity_grids.rst
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High and extra-high voltage grids
++++++++++++++++++++++++++++++++++

The model of the German extra-high (eHV) and high voltage (HV) grid is based
on data retrieved from OpenStreetMap (status January 2021) [OSM]_ and additional
parameters for standard transmission lines from [Brakelmann2004]_. To gather all
required information, such as line topology, voltage level, substation locations,
and electrical parameters, to create a calculable power system model, the `osmTGmod
tool <https://github.com/openego/osmTGmod>`_ was used. The corresponding dataset
:py:class:`Osmtgmod <egon.data.datasets..osmtgmod.Osmtgmod>` executes osmTGmod
The model of the German extra-high (eHV) and high voltage (HV) grid is based
on data retrieved from OpenStreetMap (OSM) (status January 2021) [OSM]_ and additional
parameters for standard transmission lines from [Brakelmann2004]_. To gather all
required information, such as line topology, voltage level, substation locations,
and electrical parameters, to create a calculable power system model, the `*osmTGmod*
tool <https://github.com/openego/osmTGmod>`_ was used. The corresponding dataset
:py:class:`Osmtgmod <egon.data.datasets.osmtgmod.Osmtgmod>` executes osmTGmod
and writes the resulting data to the database.

The resulting grid model includes the voltage levels 380, 220 and 110 kV and
all substations interconnecting these grid levels. For further information on the
generation of the grid topology please refer to [Mueller2018]_.
all substations interconnecting the different grid levels. Information about
border crossing lines are as well extracted from *OSM* data by *osmTGmod*.
For further information on the generation of the grid topology please refer to [Mueller2018]_.
The neighbouring countries are included in the model in a significantly lower
spatial resolution with one or two nodes per country. The border crossing lines
extracted by *osmTGmod* are extended to representative nodes of the respective
country in dataset
:py:class:`ElectricalNeighbours <egon.data.datasets.ElectricalNeighbours>`. The
resulting grid topology is shown in the following figure.

..figure:: images/Stromnetz.png
:scale: 50 %
:name: gridtopology_ehv_hv
:alt: Grid topology extra-high and high voltage grid



.. _ding0-grids:

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