SMART-DS: Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios
Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios, or SMART-DS, offers high-quality, "realistic but not real" distribution network models and advanced tools to generate automated scenarios on those models.
The SMART-DS platform allows users to test distributed automation algorithms, advanced distribution management system capabilities, and other emerging distribution technologies on full-scale, synthetic distribution networks. The networks are generated by the Reference Network Model developed by Universidad Pontificia Comillas and include high-, medium-, and low-voltage networks and geographical constraints such as topography and street maps.
Automated scenarios can be explored on top of the synthetic distribution networks, including weather patterns, control schemes, outages, and adoption of distributed energy resources. Test cases include volt/VAR optimization, distribution system reconfiguration, and single period distribution-optimal power flow. The SMART-DS platform is in partnership with Comillas-IIT, MIT, CYME International, and Electrical Distribution Design.
- Arbitrary combinations of distributed energy resources
- Detailed statistical summary of the U.S. distribution systems
- World-class, high spatial/temporal resolution of solar and wind resource data and forecasts
- Time series data for algorithm performance evaluation over full range of operating conditions
- The largest system is 100+ substations, 500+ feeders, 1 million+ customers