chilean_power_grid — Central Chilean power grid (2016)

Description

Networks of the Central Chilean power grid (the Sistema Interconectado Central, SIC), with the hourly power generation and consumption of its nodes, compiled by H. Kim, D. Olave-Rojas, E. Álvarez-Miranda and S.-W. Son. The data were assembled from three sources published by the grid operator (CDEC-SIC, now the Coordinador Eléctrico Nacional): the geographical coordinates of the facilities, the single line diagram of the grid, and the operation records. The sources were harmonized and cleaned (with manual corrections of mismatched or missing coordinates and duplicate names), keeping only the facilities present in all sources, and adding edges between the neighbours of removed facilities to keep the grid connected.

A node is a power plant, a substation, a junction (a branching point of transmission lines), or a tap node (where a facility connects to the middle of a transmission line through a short extension line), and an edge is a transmission line. Three versions of the network are provided:

with_tap: the most detailed version, keeping the tap connections, with 124 plants, 94 substations, 85 junctions and 44 tap nodes.
without_tap: the tap nodes are removed (except where they are branching points, in which case they are kept as junctions), with 124 plants, 94 substations and 100 junctions.
reduced: only the 124 plants and 94 substations, with the junctions removed via star-mesh transformations, which connect all the neighbours of each removed node, preserving the electrical relations between the remaining nodes.

The activity of a node is its net power generation (MWh, per hour) during one year, from 16 September 2015 to 15 September 2016 (8,784 hours), which is non-negative for plants and non-positive for substations. Facilities without activity records (e.g. due to maintenance) have zero activity, as do junctions and tap nodes. In the original data, the total generation (47,005 GWh) exceeds the total consumption (43,829 GWh) by the reserve capacity. In the Kirchhoff-adjusted version, the generation of the plants is scaled so that the net activity of all nodes is zero.

The networks have the following properties:

Nodes: name, the name of the facility; owner, the company that owns it; role, the kind of node (Plant, Substation, Tap node, or Switch and Tap-ed, which are both junctions); latitude and longitude, the geographical position; ref (with_tap and without_tap only), an undocumented flag of the source files (original, converted or corrected; mostly converted for junctions and tap nodes); activity, the hourly series of original activity (MWh) (with_tap and reduced only); activity_kirchhoff, the hourly series of Kirchhoff-adjusted activity (MWh) (with_tap and without_tap only).
Edges: distance, the length of the transmission line (km); voltage, the voltage of the line (kV); lines, a column of the source files not described in the documentation, presumably the number of circuits.

Tags

Technological Power grid Weighted Spatial Metadata Timestamps

Citation

H. Kim, D. Olave-Rojas, E. Álvarez-Miranda, S.-W. Son, "In-depth data on the network structure and hourly activity of the Central Chilean power grid." Scientific Data 5, 180209 (2018) 10.1038/sdata.2018.209 Sci-Hub
H. Kim, D. Olave-Rojas, E. Álvarez-Miranda, S.-W. Son, "An in-depth network structural data and hourly activity on the Central Chilean power grid." figshare, collection (2018) 10.6084/m9.figshare.c.4053374.v1 Sci-Hub

Upstream URL OK

https://doi.org/10.6084/m9.figshare.c.4053374.v1

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
with_tap	347	444	2.56	1.97	2.82	380.57	-0.08	0.09	23	1.00	Undirected	Unipartite	name owner role latitude longitude ref activity activity_kirchhoff	distance voltage lines	1.5 MiB	1.1 MiB	1.1 MiB	20 KiB
without_tap	318	409	2.57	2.03	2.89	368.50	-0.09	0.08	23	1.00	Undirected	Unipartite	name owner role latitude longitude ref activity_kirchhoff	distance voltage lines	802 KiB	877 KiB	878 KiB	17 KiB
reduced	218	527	4.83	4.76	11.27	283.20	0.01	0.56	18	1.00	Undirected	Unipartite	name owner role latitude longitude activity	distance voltage lines	762 KiB	810 KiB	809 KiB	15 KiB