Electrical Grid Stability Simulated Data for a 4-Node Star System

Vadim Arzamasov's simulated dataset analyzes local stability in a 4-node star electrical grid implementing Decentral Smart Grid Control. The data was generated using a methodology based on academic literature, with fixed parameters including an averaging time of 2 seconds, coupling strength of 8 s^-2, and damping of 0.1 s^-1. It has no missing values and is licensed under CC-BY-4.0.

Use Cases

• Regression modeling to predict grid stability based on simulated input parameters.
• Benchmarking control algorithms for decentralized smart grid management.
• Analyzing the relationship between system parameters and stability outcomes in a 4-node topology.
• Validating stability analysis methodologies against simulated scenarios.

Strengths

• Data is explicitly simulated for controlled stability analysis, allowing for systematic parameter variation.
• Methodology is documented as being based on a specific, cited academic paper.
• Dataset has no missing values, which simplifies analysis.
• Clear license (CC-BY-4.0) permits open use and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Last update date is unknown; freshness unverified.

Provenance

Source

Vadim Arzamasov via OpenML.

Collection Method

Simulated data generated for local stability analysis of a 4-node star electrical grid system.

Time Range

Temporal coverage is not specified.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified; the data is simulated and not tied to a real-world geography.