german_power_grid — German high-voltage transmission grid (2014)

Description

Networks of the German 380 kV electrical transmission grid, compiled by M. Mureddu for the analysis of the impact of renewable energy sources (RES). The topology and parameters of the grid were extracted from a validated power flow model of the continental European transmission network (the former UCTE), keeping all German 380 kV buses and the lines among them, together with the foreign border nodes with the largest exchanges (with Denmark, the Netherlands, Luxembourg, France, Switzerland, Austria, the Czech Republic and Poland), which are modeled as constant loads (positive for outflows, negative for inflows). The installed photovoltaic and wind generation in Germany at the end of 2014 (from the EnergyMap census of RES generators) was assigned to the geographically nearest bus (via a Voronoi tessellation), and scaled to scenarios in which RES supply 20%, 30%, 40%, 50% or 60% of the total load, using the 2014 load. For each scenario, the dispatch of the 82 conventional generators was obtained with a DC optimal power flow.

A node is a transmission substation (bus), and an edge is a transmission line between two buses. The five networks share the same topology, and differ in the RES generation and conventional dispatch: res20, res30, res40, res50 and res60 correspond to the RES shares of 20% to 60%. There are two pairs of parallel lines.

The networks have the following properties:

Nodes: name, the bus code (with a prefix indicating the country, e.g. D or E for German buses, PL for Poland); latitude and longitude, the geographical position (the source files label these columns the other way around); load, the load of the bus (MW); pv and wind, the estimated photovoltaic and wind power production at the bus in the scenario (MW); gen_power, gen_capacity and num_generators, the total dispatched power (MW), the total maximum power (MW) and the number of the conventional generators attached to the bus; inertia, the estimated rotating inertia of the bus (kg m²), estimated from the nominal power of its generators, or of its load (the source files label this column as Id, and the bus index as Inertia).
Edges: x, the reactance of the line (per unit, with a base power of 400 MVA); capacity, the estimated capacity of the line (MW).

Tags

Technological Power grid Weighted Spatial Metadata

Citation

M. Mureddu, "Representation of the German transmission grid for Renewable Energy Sources impact analysis." arXiv:1612.05532 (2016) arXiv:1612.05532
M. Mureddu, "Representation of the German transmission grid for Renewable Energy Sources impact analysis." figshare, dataset (2016) 10.6084/m9.figshare.4233782.v2 Sci-Hub

Upstream URL 403

https://figshare.com/articles/dataset/Germany_grid_data_7z/4233782

Upstream license

Creative Commons Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
res20	231	304	2.63	1.55	2.42	139.70	-0.20	0.08	22	1.00	Undirected	Unipartite	name latitude longitude load pv wind gen_power gen_capacity num_generators inertia	x capacity	13 KiB	15 KiB	14 KiB	14 KiB
res30	231	304	2.63	1.55	2.42	139.70	-0.20	0.08	22	1.00	Undirected	Unipartite	name latitude longitude load pv wind gen_power gen_capacity num_generators inertia	x capacity	13 KiB	15 KiB	14 KiB	14 KiB
res40	231	304	2.63	1.55	2.42	139.70	-0.20	0.08	22	1.00	Undirected	Unipartite	name latitude longitude load pv wind gen_power gen_capacity num_generators inertia	x capacity	13 KiB	15 KiB	14 KiB	14 KiB
res50	231	304	2.63	1.55	2.42	139.70	-0.20	0.08	22	1.00	Undirected	Unipartite	name latitude longitude load pv wind gen_power gen_capacity num_generators inertia	x capacity	13 KiB	15 KiB	14 KiB	14 KiB
res60	231	304	2.63	1.55	2.42	139.70	-0.20	0.08	22	1.00	Undirected	Unipartite	name latitude longitude load pv wind gen_power gen_capacity num_generators inertia	x capacity	13 KiB	15 KiB	14 KiB	14 KiB