Smart Grid Stability Augmented Data
Catalog Summary
"Simulated data for analyzing the stability of smart grids under the Decentral Smart Grid Control (DSGC) concept. Classifies grid state as stable or unstable."
Catalog Notes
Dataset Context
This dataset analyzes the local stability of a 4-node star system (electricity producer in the center) implementing the Decentral Smart Grid Control (DSGC) concept.
Key Attributes
- tau[x]: Reaction time of participants (producer/consumer).
- p[x]: Nominal power consumed (negative) or produced (positive).
- g[x]: Coefficient proportional to price elasticity.
- stabf: Stability Label (Stable/Unstable).
Goal
To predict whether the grid will remain stable based on the reaction times and power dynamics of its participants.
Data Preview
| tau1 | tau2 | p1 | p2 | g1 | stabf |
|---|---|---|---|---|---|
| 2.95 | 3.07 | 3.76 | -0.78 | 0.65 | unstable |
| 9.30 | 4.90 | 5.06 | -1.94 | 0.41 | stable |
Showing first few rows for preview
Guides and analyses for this dataset
Read the linked methodology, interpretation, and reproducibility guidance before analysing or reusing this dataset.
Provided Citation
Arzamasov, V. (2018). Electrical Grid Stability Simulated Data [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5PG66.
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Source metadata: External (2026)
Indexed by IoTDataset.com on Jan 13, 2026
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