Power Grid Resource Adequacy Simulations for Extreme Weather Events

Featuring the input and output files from Probabilistic Resource Adequacy Suite (PRAS) simulations for a study on correlated wide-area power grid outages. It models baseline conditions and a hurricane-inspired extreme event across different weather uncertainties. The specific number of rows, columns, and file size is not provided.

Use Cases

• Analyze PRAS simulation outputs to assess grid reliability under hurricane-inspired wide-area extreme events.
• Compare resource adequacy metrics between baseline conditions and different weather uncertainty scenarios.
• Study the impact of correlated wide-area outages on power grid performance using the provided simulation data.

Strengths

• Data is associated with a peer-reviewed study published with a DOI (10.1088/2753-3751/add465).
• Simulations cover both baseline conditions and a specific hurricane-inspired extreme event.
• Provided by the U.S. Department of Energy, indicating authoritative provenance.

Limitations

• Data format is BIN, which may require specialized software or libraries to read and interpret.
• No sample data or column descriptions are available, limiting initial understanding of the data structure.
• The dataset's size and specific record count are unknown, making it difficult to assess computational requirements.

Provenance

Source

Department of Energy

Collection Method

Outputs from Probabilistic Resource Adequacy Suite (PRAS) simulations for a specific study.

Freshness

Last updated on March 21, 2026.