TAMU_SmartGridCenter/ACTIVSg70K
DC power flow for a synthetic 70,000bus power grid
Name 
ACTIVSg70K 
Group 
TAMU_SmartGridCenter 
Matrix ID 
2829 
Num Rows

69,999 
Num Cols

69,999 
Nonzeros

238,627 
Pattern Entries

238,627 
Kind

Power Network Problem 
Symmetric

Yes 
Date

2018 
Author

A. B. Birchfield, T. J. Overbye 
Editor

T. Davis 
Structural Rank 
69,999 
Structural Rank Full 
true 
Num Dmperm Blocks

1 
Strongly Connect Components

1 
Num Explicit Zeros

0 
Pattern Symmetry

100% 
Numeric Symmetry

100% 
Cholesky Candidate

no 
Positive Definite

no 
Type

real 
Download 
MATLAB
Rutherford Boeing
Matrix Market

Notes 
Texas A&M Smart Grid Center: synthetic (yet realistic) power system grids
Group name: TAMU_SmartGridCenter
Synthetic electric grid models are fictitious representations that are
designed to be statistically and functionally similar to actual electric
grids while containing no confidential critical energy infrastructure
information (CEII). Some of these cases were developed with the support
of the U.S. DOE ARPAE Grid Data program; their support is gratefully
acknowledged.
For more information and full datasets, see:
https://electricgrids.engr.tamu.edu/electricgridtestcases/
A. B. Birchfield; T. Xu; K. M. Gegner; K. S. Shetye; T. J. Overbye, "Grid
Structural Characteristics as Validation Criteria for Synthetic Networks,"
in IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 32583265, July
2017.
A. B. Birchfield, E. Schweitzer, H. Athari, T. Xu, T. J. Overbye, A.
Scaglione, and Z.Wang, "Validation metrics to assess the realism of
synthetic power grids," Energies, vol. 10, no. 8, p. 1233, Aug. 2017.
A. B. Birchfield, T. Xu, and T. J. Overbye, "Power flow convergence and
reactive power planning in the creation of large synthetic grids," in IEEE
Transactions on Power Systems, 2018.

Matrix: TAMU_SmartGridCenter/ACTIVSg70K
Title: Linearized or "dc" power flow susceptance matrix for a synthetic
70,000bus power grid
Description:
ACTIVSg70K is a 70,000bus power system dataset that is entirely
synthetic, built from public information and a statistical analysis of
real power systems. Its geographic footprint is the Eastern United
States, but it bears no relation to any actual grid, except that
generation and load profiles are similar, based on public data. This
matrix is the linearized or "dc" power flow susceptance matrix.
The full dataset can be downloaded at:
https://electricgrids.engr.tamu.edu/electricgridtestcases/activsg70K/
