Published November 23, 2022 | Version 2.0
Dataset Open

IEEE New England 39-bus test case: Dataset for the Transient Stability Assessment

  • 1. University of Split, FESB

Description

The dataset contains 350 features engineered from the phasor measurements (PMU-type) signals from the IEEE New England 39-bus power system test case network, which are generated from the 9360 systematic MATLAB®/Simulink electro-mechanical transients simulations. It was prepared to serve as a convenient and open database for experimenting with different types of machine learning techniques for transient stability assessment (TSA) of electrical power systems.

Different load and generation levels of the New England 39-bus benchmark power system were systematically covered, as well as all three major types of short-circuit events (three-phase, two-phase and single-phase faults) in all parts of the network. The consumed power of the network was set to 80%, 90%, 100%, 110% and 120% of the basic system load levels. The short-circuits were located on the busbar or on the transmission line (TL). When they were located on a TL, it was assumed that they can occur at 20%, 40%, 60%, and 80% of the line length. Features were obtained directly from the time-domain signals at the pickup time (pre-fault value) and at the trip time (post-fault value) of the associated distance protection relays.

This is a stochastic dataset of 3120 cases, created from the population of 9360 systematic simulations, which features a statistical distribution of different fault types, as follows: single-phase (70%), double-phase (20%) and three-phase faults (10%). It also features a class imbalance, with less than 20% of cases belonging to the unstable class. Dataset is a compressed CSV file.

List of feature names in the dataset:

  • WmGx - rotor speed for each generator Gx, from G1 to G10,
  • DThetaGx - rotor angle deviation for each generator Gx, from G1 to G10,
  • ThetaGx - rotor mechanical angle for each generator Gx, from G1 to G10,
  • VtGx - stator voltage for each generator Gx, from G1 to G10,
  • IdGx - stator d-component current for each generator Gx, from G1 to G10,
  • IqGx - stator q-component current for each generator Gx, from G1 to G10,
  • LAfvGx - pre-fault power load angle for each generator Gx, from G1 to G10,
  • LAlvGx - post-fault power load angle for each generator Gx, from G1 to G10,
  • PfvGx - pre-falut value of the generator active power for each generator Gx, from G1 to G10,
  • PlvGx - post-falut value of the generator active power for each generator Gx, from G1 to G10,
  • QfvGx - pre-falut value of the generator reactive power for each generator Gx, from G1 to G10,
  • QlvGx - post-falut value of the generator reactive power for each generator Gx, from G1 to G10,
  • VAfvBx - pre-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39,
  • VBfvBx - pre-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39,
  • VCfvBx - pre-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39,
  • VAlvBx - post-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39,
  • VBlvBx - post-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39,
  • VClvBx - post-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39,
  • Stability - binary indicator (0/1) that determines if the power system was stable or unstable (0 - stable, 1 - unstable); this is the label variable.

License: Creative Commons CC-BY.

Disclaimer: This dataset is provided "as is", without any warranties of any kind.

Notes

Funding acknowledgement: Project IP-2019-04-7292 - Power system disturbance simulator and non-sinusoidal voltages and currents calibrator, funded by the Croatian Science Foundation, Republic of Croatia.

Files

PowerGridFeatures.zip

Files (2.0 MB)

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Additional details

References

  • Kunac, A.; Sarajcev, P.: Ensemble Learning Approach to Power System Transient Stability Assessment, 5th International Conference on Smart and Sustainable Technologies (SpliTech), 23-26 September 2020, Split, Croatia, doi:10.23919/splitech49282.2020.9243849.