Revision as of 14:04, 24 January 2020

Network datasets by region

Europe

Name	Version	Year Published	Represented year	Region	Num. Substations or Buses	Num. Lines	Contains	Direct download?	Licence	Format
SciGRID	0.2	2015	2015	Germany, but in principle whole world	495	825	Topology, Impedances	Yes	Apache Licence, Version 2.0 (code, documentation). ODBL (data)	CSV (csvdata)
Bialek European Model	2	2013	2009	Continental Europe	1494 buses	2322	Topology, Impedances, Loads, Generators	Yes	Public Domain Dedication	PowerWorld, Excel
National Grid ETYS 2014 Model		2014	2014	Great Britain	365	316	Topology, Impedances, Loads, Generators	Yes	Unclear
Austrian Power Network Grid		2015	2015	Austria		~100	Topology, Impedances	Yes	Unclear	PDF
ENTSO-E STUM	1	2015 and before	2020?	Continental Europe?	1000s	1000s	Topology, Impedances	Requires registration	Restrictive	CIM
ENTSO-E STUM	2	2015	2030	GB, Ireland, Baltics, Finland, Continental Europe	1000s	1000s	Topology, Impedances	Requires registration	Restrictive	Excel
ENTSO-E STUM	3	2016	2030	GB, Ireland, Baltics, Finland, Continental Europe	1000s	1000s	Topology, Impedances	Requires registration	Restrictive	Excel
ENTSO-E STUM	2	2015	2030	GB, Ireland, Baltics, Finland, Continental Europe	1000s	1000s	Topology, Impedances	Requires registration	Restrictive	Excel
PyPSA-Eur	0.1.0	2020	2020	GB, Ireland, Baltics, Scandinavia, Continental Europe	5000	6000	Topology, Impedances, Loads, Generators, Renewable Availability Time Series	Yes	CC BY 4.0 (Dataset), GNU GPL v3.0 (Code)	NetCDF, CSV (alternative)

SciGRID

SciGRID is a project which started in 2014 and will be running for three years. The aim of SciGRID is to develop an open and free model of the European transmission network based on data from the OpenStreetMap. It is carried out by NEXT ENERGY - EWE Research Centre for Energy Technology, an independent non-profit institute at the University of Oldenburg, Germany, and funded by the German Ministry of Education and Research, and the initiative Zukunftsfähige Stromnetze.

An unofficial, post-processed version of SciGRID version 0.2 for Germany with attached load, generation and transformers is available as a PyPSA example, see also screenshots.

GridKit European Dataset

GridKit uses spatial and topological analysis to transform map objects from OpenStreetMap into a network model of the electric power system. It has been developed in the context of the SciGRID project at the NEXT ENERGY - EWE Research Centre for Energy Technology, to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in SciGRID. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.

Data extracts are provided for Europe and North America in a similar CSV format to SciGRID.

osmTGmod Model

osmTGmod is a load-flow model of the German transmission-gird, based on the free geo-database OpenStreetMap (OSM). The model, respectively the heuristic abstraction process employs a PostgreSQL-database extended by PostGIS. The key part of the abstraction process is implemented in SQL and ProstgreSQL's procedural language pl/pgSQL. The abstraction and all additional modules are controlled by a Python-environment.

Bialek European Model

The 2nd version of the Bialek European Model is downloadable as an Excel file and in the format of the proprietary modelling software PowerWorld. The model covers voltages from 110 kV (a single line in the Balkans) up to 380 kV. It is released under a Public Domain Dedication.

The 1st version was released in 2002-2004 and is no longer available (see Archive mirror). The 1st version did not contain the Balkans region.

The methodology and validation for the 1st version of the model can be found in the paper Approximate model of European interconnected system as a benchmark system to study effects of cross-border trades by Zhou and Bialek, 2005.

The model contains the impedances and number of circuits of each line, but not the length (which can in principle be determined from the impedance and number of circuits, given standard line parameters). Only cross-border lines are assigned thermal capacities.

There is currently no coordinate dataset for the buses. The PowerWorld file contains spatial data, but in an unknown projection. The georef-bialek github project is an attempt to fix this; there is also a geo-referenced version from Tue Vissing Jensen.

DIW ELMOD-DE open model of Germany

ELMOD-DE is an open model of the German electricity system developed at DIW and TU Berlin, which includes both a model of the high voltage transmission network, power plants, hourly load and weather data for the year 2012 and GAMS code to run linear optimisation simulations. It contains 438 geo-referenced network nodes and 697 transmission lines at 380 kV and 220 kV. Transformers are not modelled but per unit line series impedances are adjusted to the voltage level.

The model includes 47 pages of documentation.

The transmission data was, according to the documentation, derived from the VDE and TSO maps and from OpenStreetMap. The data is provided as-is without the code that generated it.

National Grid Model

National Grid Electricity Ten Year Statement 2014 Model

Shapefiles and maps of tower, lines, cables and substations here.

Austrian Power Network Grid Model

Austrian Power Network Grid

Danish Power Network Grid Model

Danish Transmission network data

The data are not directly available, but rather a registration form is required before obtaining access.

It has features not present in the ENTSO-E STUM (see below):

It's a full non-linear model with all the reactive power demand, P and Q capabilities of gens and shunt reactive power compensation.
It lists the power capabilities of the generators and their fuel type (wind/solar/gas etc), not just the dispatch.
They seem to have separated RE feed-in from the load, which wasn't the case for STUM where wind and solar are lumped with the load as residual load.

What's missing are geocoordinates for the substations (which can be read off roughly from the JPG map) and time-dependence of the loads and/or variable generators. For Denmark, which has many CHP units, it would also be useful to know the heat demand and how the CHP units are operated.

Amprion Network Dataset for Western Germany

Amprion, interactive map of the grid extension projects

TransnetBW Network Dataset for Southwest Germany

TransnetBW

50 Hertz Network Dataset for Eastern Germany

50 Hertz statistisches Netz

Ceps Network Dataset for Czech Republic

CEPS

ENTSO-E Interactive Grid Map

ENTSO-E announced its Interactive ENTSO-E Transmission Network Map in March 2016.

The map uses OpenStreetMap as a background and Mapbox for displaying the map data.

The map is based on the ENTSO-E static grid map, which is based on the TSOs' own maps. It is known to be an approximate artistic representation rather than an accurate geographical map. Some power plants may be incorrectly labelled (e.g. fuel type may not be accurate).

The map includes information on the number of circuits and the voltage levels of transmission lines.

Information, including all geographical coordinates, can be extracted from the web API, but requires further topological processing to be turned into an electrical network model. Lines need to be connected, etc. The GridKit project provides code for this purpose and has released an unofficial dataset, which forms an electrical network model complete with buses, links, generators and transformers, full geographic coordinates, as well as all electrical metadata contained in the ENTSO-E map.

ENTSO-E Static Grid Map

ENTSO-E releases maps of the European transmission grid, both electronically and in paper form.

The maps for the whole ENTSO-E system are in the projection EPSG 3034, which is a Lambert Conformal Conic projection. The lower left corner is approximately at (lon,lat) = (-9.5,28) and the upper left corner is at (75.5,58.5). This was checked in the georef-bialek github project.

ENTSO-E STUM

ENTSO-E makes available a model of the European transmission system. Registration is required to download it on the ENTSO-E STUM page. It is not totally clear what one may and may not do with it (e.g. whether it is possible to publish results derived from it or an aggregation of the nodes, etc.).

The first version of the model was released in the CIM XML-based format for the old UCTE area. The model was a winter snapshot for 2020, including TYNDP projects. The node names were obscured so that the model was unusable. Line capacities were missing.

The second version, published in June 2015 as Excel spreadsheets, is more useful. It contains the whole ENTSO-E area with the exception of Norway, Sweden, Cyrus and Iceland. The node names are the same as those used by the TSOs. Quoting from the documentation: "It represents the power system of the ENTSO-E members for 2030 in Vision I of the TYNDP 2014", i.e. it includes planned TYNDP projects. It includes all nodes, lines, transformers and aggregated loads and generators at each node for one snapshot. Line data includes series reactance and resistance, but not line length or capacity or number of circuits or wires per circuit bundle. Geolocation data for the nodes is missing. Node names are recognisable from the substation names on the ENTSO-E map. The model is intended for a linear load flow only. It is not clear which wind/solar/load snapshot the model represents (it is an "exemplary scenario"). Generators are not distinguished by generation source.

The third version, published in February 2016 as Excel spreadsheets has in addition thermal ratings for most transformers and most transmission lines, along with reactive power feed-in, consumption and compensation, so that a full non-linear power flow can be run on the grid.

ENTSO-E Initial Dynamic Model of Continental Europe

Requires registration. Can model "the main frequency response of the system as well as the main inter-area oscillation modes".

Flow-based market coupling data by Joint Allocation Office

The joint allocation office hosts various official data (including PTDFs) around the Flow-based market coupling algorithm in use in Europe.

http://utilitytool.jao.eu/

http://utilitytool.jao.eu/CascUtilityWebService.asmx

PyPSA-Eur: An Open Optimisation Model of the European Transmission System

PyPSA-Eur is a model/dataset of the European power system at the transmission network level.

The transmission network data is based on a cleaned up extraction of the Interactive ENTSO-E Transmission Network Map, extracted using GridKit.

The model covers the ENTSO-E area and contains all alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.

The model only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets. The model is suitable both for operational studies and generation and transmission expansion planning studies.

Current versions of the code and dataset can be found on zenodo:

https://zenodo.org/record/3603127#.Xhcvdtl7m0I (Code)
https://zenodo.org/record/3601882#.XhcvqNl7m0J (Dataset)

Documentation is available at https://pypsa-eur.readthedocs.io

Development takes place on Github at https://github.com/pypsa/pypsa-eur

The netcdf files (.nc) can be imported with PyPSA. Documentation for this is available at https://pypsa.readthedocs.io/en/latest/import_export.html#import-from-netcdf.

Some basic validation is provided in a paper describing the dataset:

Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.

Australia

Lines and substations

United States

There is raster graphic of the US transmission grid at https://www.e-education.psu.edu/geog469/book/export/html/111.

Western Electricity Coordinating Council

Apparently there is a a WECC Transmission Expansion Planning Policy Committee (TEPPC) 2024 Common Case GridView dataset, but the exact link seems elusive.

The WECC Transmission Expansion Planning has links to Excel files.

Western US Power Grid

The Western US Power Grid dataset has 4941 nodes and 6594 lines, but apparently these are not well enough labelled to distinguish where and what the nodes/lines are.

GridKit North American Dataset

GridKit uses spatial and topological analysis to transform map objects from OpenStreetMap into a network model of the electric power system. It has been developed in the context of the SciGRID project at the NEXT ENERGY - EWE Research Centre for Energy Technology, to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in SciGRID. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.

Data extracts are provided for Europe and North America in a similar CSV format to SciGRID.

Global

OpenStreetMap

The global OpenStreetMap (OSM) power grid data is visible at ITO World Electricity Distribution and Enipedia has nightly extracts of the power grid from OSM.

GridKit Datasets

GridKit uses spatial and topological analysis to transform map objects from OpenStreetMap into a network model of the electric power system. It has been developed in the context of the SciGRID project at the NEXT ENERGY - EWE Research Centre for Energy Technology, to investigate the possibility of 'heuristic' analysis to augment the route-based analysis used in SciGRID. This has been implemented as a series of scripts for the PostgreSQL database using the PostGIS spatial extensions.

Data extracts are provided for Europe and North America in a similar CSV format to SciGRID.

IRENA OpenStreetMap Extract

See IRENA News Announcement

Non-Region Specific

University of Washington Power Systems Test Case Archive

Power Systems Test Case Archive

IEEE PES Power Grid Library

Overview

Optimal Power Flow Cases

RWTH Aachen Transmission Expansion Problem Benchmark Case

RWTH Aachen has published A Benchmark Case for Network Expansion, which is "derived from the IEEE 118 bus network and modified in accordance with European standards such as a nominal frequency of 50Hz, the use of conventional voltage levels, and conductor dimensions."

Registration is required to download the model.

The paper describing the model is A benchmark case for network expansion methods, 2015.

Other lists of network datasets

Enipedia list

Nightly extracts of the power grid from OpenStreetMap
- See the maps at ITO World Electricity Generation and ITO World Electricity Distribution for a visual overview of what this covers.
- This data is fed into the search page here where you locate data on individual power plants.

Edinburgh University list

Github repository of several transmission network models

Github list of complex network datasets

Free software for power system analysis

PyPower in Python

PyPSA: Python for Power System Analysis

PowerGAMA in Python

MATPOWER in Matlab or Octave

OpenDSS in Delphi

PSAT in Matlab or Octave

PowerModels.jl in Julia

AutoGridComp in Python for the comparison of power grid models

Other lists of power system analysis software

https://wiki.openelectrical.org/index.php?title=Power_Systems_Analysis_Software

https://nkloc.wordpress.com/2011/11/11/power-system-simulation-software-list/

http://www2.econ.iastate.edu/tesfatsi/ElectricOSS.htm

Typical electrical parameters for transmission infrastructure

Calculating cable impedances

See http://www.openelectrical.org/wiki/index.php?title=Cable_Impedance_Calculations and electrical engineering textbooks.

Generalities on overhead alternating current transmission lines

Three-phase power

In almost all of the world electrical power is transmitted using alternating current with three phases separated by 120 degrees, see Wikipedia: Three-phase electric power.

For this reason the cables on power lines are bundled in groups of three.

(Exceptions include: direct current power lines and some transmission systems for supplying trains, which are e.g. in Germany two-phase and at 16.7 Hz.)

Current I and current limits are almost always quoted per phase.

Voltage in the transmission system is almost always quoted as the phase-to-phase potential difference, often called line-to-line voltage V_{LL}, since this is the easiest value to measure. It is related to the line-to-ground or line-to-neutral potential difference V_{LN} by V_{LL} = \sqrt{3} V_{LN}.

The apparent power transported in each phase is give by I*V_{LN}, so that for a complete transmission circuit the power is three times this value:

S = 3*I*V_{LN} = \sqrt(3)*I*V_{LL}

Often it is assumed that the voltage and current magnitudes are the same in each phase, i.e. that the system is balanced and symmetric. This should be the case in the normal operation of the transmission system. The impedances and limits below are quoted assuming that the system is balanced, so that only positive sequence impedances are given. See Wikipedia: Symmetrical components.

In an unbalanced system, the three phases can be described using the positive-, negative- and zero-sequence components, where the impedances are different for each sequence.

Bundled conductors

See Wikipedia: Overhead power line: Bundle conductors.

Often the conducting wires for each phase are separated into bundles of several parallel wires, connected at intervals by spacers. This has several advantages: the higher surface area increases the current-carrying capacity, which is limited by the skin effect, it reduces inductance and it helps to cool the wires.

Circuits

Each group of three phases is called a circuit. Power-carrying capability can be increased by having several circuits on a single pylon, so that wire bundles always appear in multiples of 3 in power lines.

European 50 Hz transmission lines

The main European alternating current (AC) electricity system is operated at 50 Hz. (Other networks, such as those for electrified trains, operate at other frequencies and some transmission lines use direct current.)

On the continent AC transmission voltages are typically 220 kV or 380 kV (sometimes quoted as 400 kV, since network operators often run their grid above nominal voltage to reduce network losses).

220 kV overhead lines are typically configured with a bundle of 2 wires per phase with wires of cross-section Al/St 240/40.

380 kV overhead lines are typically configured with a bundle of 4 wires per phase with wires of cross-section Al/St 240/40.

We now list the impedances of the transmission lines, which can be used for example in the lumped pi model.

Electrical properties for single circuits
Voltage level (kV)	Type	Conductors	Series resistance (Ohm/km)	Series inductive reactance (Ohm/km)	Shunt capacitance (nF/km)	Current thermal limit (A)	Apparent power thermal limit (MVA)
220	Overhead line	2-wire-bundle Al/St 240/40	0.06	0.301	12.5	1290	492
380	Overhead line	4-wire-bundle Al/St 240/40	0.03	0.246	13.8	2580	1698

In the table the thermal limit for the current is calculated as 645 A per wire at an outside temperature of 20 degrees Celsius.

The thermal limit for the apparent power S is derived from the per-phase current limit I and the line-to-line voltage V by S = \sqrt{3}VI.

Sources for the electrical parameters:

Oeding and Oswald Elektrische Kraftwerke und Netze, 2011, Chapter 9

European 50 Hz high voltage transformers

Typical 380/220 kV transformers have a nominal power of around 400-500 MVA and a per unit series reactance of around 0.08-0.1.

TODO: references

Combining electrical parameters for multiple circuits

In the table above, the impedances are quoted for a single circuit. The resistance and inductive reactance decrease proportional to the number of parallel circuits (with small modifications to the inductance due to the different geometry of the parallel circuits). Similarly the capacitance increases proportional to the number of parallel circuits (again, roughly because of changing geometry).

Standard Test Test Networks

http://sites.ieee.org/pes-testfeeders/resources/

https://github.com/e2nIEE/pandapower/tree/develop/pandapower/networks

@@ Line 1: / Line 1: @@
 = Network datasets by region<br/> =
 == Europe<br/> ==
@@ Line 81: / Line 79: @@
 | Topology, Impedances
 | Requires registration
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Restrictive</span>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span>
 | CIM
 |-
@@ Line 91: / Line 89: @@
 | 1000s
 | 1000s
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Requires registration</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Restrictive</span>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span>
 | Excel
 |-
@@ Line 103: / Line 101: @@
 | 1000s
 | 1000s
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Requires registration</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/>
 | Restrictive<br/>
 | Excel<br/>
@@ Line 115: / Line 113: @@
 | 1000s
 | 1000s
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances</span><br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Requires registration</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Requires registration</span><br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Restrictive</span>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Restrictive</span>
 | Excel
 |-
@@ Line 127: / Line 125: @@
 | 5000<br/>
 | 6000<br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Topology, Impedances, Loads, Generators, Renewable Availability Time Series</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Topology, Impedances, Loads, Generators, Renewable Availability Time Series</span><br/>
-| <span style="font-size: 13.6px;  background-color: rgb(255, 255, 255)">Yes</span><br/>
+| <span style="font-size: 13.6px; background-color: rgb(255, 255, 255)">Yes</span><br/>
 | CC BY 4.0 (Dataset), GNU GPL v3.0 (Code)
 | NetCDF, CSV (alternative)
@@ Line 278: / Line 276: @@
 PyPSA-Eur is a model/dataset of the European power system at the transmission network level.
+The transmission network data is based on a cleaned up extraction of the [https://www.entsoe.eu/map/Pages/default.aspx Interactive ENTSO-E Transmission Network Map], extracted using [https://github.com/bdw/GridKit GridKit].
 The model covers the ENTSO-E area and contains all alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.
@@ Line 298: / Line 298: @@
 Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. [https://arxiv.org/abs/1806.01613 https://arxiv.org/abs/1806.01613], [https://doi.org/10.1016/j.esr.2018.08.012 https://doi.org/10.1016/j.esr.2018.08.012].
+<br/>
 == Australia<br/> ==

Log in / create account

About

Help

Search

Navigation

Search

Interaction

Toolbox

Namespaces

Variants

Views

Actions

Transmission network datasets

Revision as of 14:04, 24 January 2020

Contents

Network datasets by region

Europe

SciGRID

GridKit European Dataset

osmTGmod Model

Bialek European Model

DIW ELMOD-DE open model of Germany

National Grid Model

Austrian Power Network Grid Model

Danish Power Network Grid Model

RTE Network Dataset for France

Elia Network Dataset for Belgium

TenneT NL Network Dataset for the Netherlands

TenneT DE Network Dataset for Central Germany

Amprion Network Dataset for Western Germany

TransnetBW Network Dataset for Southwest Germany

50 Hertz Network Dataset for Eastern Germany

Ceps Network Dataset for Czech Republic

ENTSO-E Interactive Grid Map

ENTSO-E Static Grid Map

ENTSO-E STUM

ENTSO-E Initial Dynamic Model of Continental Europe

Flow-based market coupling data by Joint Allocation Office

PyPSA-Eur: An Open Optimisation Model of the European Transmission System

Australia

United States

Western Electricity Coordinating Council

Western US Power Grid

GridKit North American Dataset

Global

OpenStreetMap

GridKit Datasets

IRENA OpenStreetMap Extract

Non-Region Specific

University of Washington Power Systems Test Case Archive

IEEE PES Power Grid Library

RWTH Aachen Transmission Expansion Problem Benchmark Case

Other lists of network datasets

Free software for power system analysis

Typical electrical parameters for transmission infrastructure

Calculating cable impedances

Generalities on overhead alternating current transmission lines

Three-phase power

Bundled conductors

Circuits

European 50 Hz transmission lines

European 50 Hz high voltage transformers

Combining electrical parameters for multiple circuits

Standard Test Test Networks