OpenGrid Reference: Cascade Interconnect

Generated by ops/reference-models/build_cascade.py and serialised as a Sienna SystemDocument: 90 buses across three zones, 254 lines meshed by proximity, 28 thermal and 34 renewable units, 38 loads. Built to be topologically plausible at system scale and to carry no real asset identity or location, so an intervenor can test a hypothesis on a public network without anyone asserting a result about a real utility's system.

Identifier

https://catalog.opengrid.org/ds/cascade-interconnect-reference

Domains

Network topology & parameters

Provenance class

synthetic

Upstream sources

Not capturedWhich is a statement about what the catalog can show, not about how the data was produced.

Licence

CC-BY-4.0

Redistribution

Not captured

• Provenance

  –Not yet assessed

  Not the same as a poor grade. Provenance and documentation are graded from field-level metadata, which this record does not carry yet.

• Documentation

  –Not yet assessed

  Not the same as a poor grade. Provenance and documentation are graded from field-level metadata, which this record does not carry yet.

• Currency & maintenance

  –Not yet assessed

  No update cadence is recorded, so there is nothing to be past due against. Absent means not captured, not that the dataset has no cadence.

  Not the same as a poor grade. Provenance and documentation are graded from field-level metadata, which this record does not carry yet.

This record is at completeness level 1. Provenance and Documentation are assessed from field-level metadata, which a level 1 record does not carry. Not yet assessed is not the same as poor.

Visible without signing in, deliberately: an evaluator comparing catalogs should not have to register first.

• PyPSA-Eur grid dataset (pre-built OSM network)Strength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling, DC Power Flow and Production Cost Modeling.

  • · Both feed Capacity Expansion Modeling, DC Power Flow and Production Cost Modeling.
  • · Both are nodal.
• Global Energy Monitor Global Integrated Power TrackerStrength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling and Production Cost Modeling.

  • · Both feed Capacity Expansion Modeling and Production Cost Modeling.
• PyPSA-Eur weather cutoutsStrength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling and Production Cost Modeling.

  • · Both feed Capacity Expansion Modeling and Production Cost Modeling.
• EIA natural gas prices and Short-Term Energy OutlookStrength 1 of 5Complementary

  Both feed: Production Cost Modeling.

  • · Both feed Production Cost Modeling.
• Ember Global Electricity Review and Renewable Target TrackerStrength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling.

  • · Both feed Capacity Expansion Modeling.
• Global Transmission DatabaseStrength 1 of 5Complementary

  Nodal versus zonal: different granularity of the same subject. Useful together for validation, and not interchangeable.

  • · Both feed Capacity Expansion Modeling and Production Cost Modeling.
• OpenGrid Reference: Great Britain (OSM)Strength 1 of 5Complementary

  Both feed: DC Power Flow.

  • · Both feed DC Power Flow.
  • · Both are nodal.
• ECMWF ERA5 reanalysisStrength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling and Production Cost Modeling.

  • · Both feed Capacity Expansion Modeling and Production Cost Modeling.
• NREL National Solar Radiation DatabaseStrength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling and Production Cost Modeling.

  • · Both feed Capacity Expansion Modeling and Production Cost Modeling.
• NREL Annual Technology BaselineStrength 1 of 5Complementary

  Both feed: Capacity Expansion Modeling.

  • · Both feed Capacity Expansion Modeling.
• EIA-930 Hourly Electric Grid MonitorStrength 1 of 5Complementary

  Both feed: Production Cost Modeling.

  • · Both feed Production Cost Modeling.