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DC FieldValueLanguage
dc.contributor.authorBirchfield, Adam-
dc.date.accessioned2022-08-05T21:37:10Z-
dc.date.available2022-08-05T21:37:10Z-
dc.date.issued2022-02-28-
dc.identifier.urihttp://item.bettergrids.org/handle/1001/628-
dc.description.abstractThe ARPAE Performance-based Energy Resource Feedback, Optimization, and Risk Management (PERFORM) research program “seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid.” This page contains datasets developed by teams at Texas A&M to support this program and participating project members. The datasets here are high-quality synthetic electric grid models, built from public information and a statistical analysis of actual power systems. They are geolocated on actual U.S. geography, but they are synthetic (fictitious) transmission networks that do not contain any CEII. See the references page here for more detailed information. The cases are provided in multiple formats, including PowerWorld binary (PWB/PWD), PowerWorld auxiliary text format, Matpower format, PSS/E raw format, and PSLF epc format. More about the data formats. Please contact Adam Birchfield (abirchfield@tamu.edu) for questions regarding these cases. Texas7K This 6717-bus network covers the geographic footprint of the electric reliability council of Texas (ERCOT) and serves 74 GW of peak load across the majority of the U.S. state of Texas.en_US
dc.publisherTexas A&M Universityen_US
dc.titleDatasets for ARPA-E PERFORM Program - Texas7Ken_US
dc.typeGrid Model Dataseten_US
grid.publisher.urlhttps://electricgrids.engr.tamu.edu/electric-grid-test-cases/datasets-for-arpa-e-perform-program/en_US
grid.formatPOWERWORLDen_US
grid.buses0en_US
grid.generators0en_US
grid.loads0en_US
grid.feeders0en_US
grid.switches0en_US
grid.nodes0en_US
grid.voltages0en_US
grid.climateZones0en_US
grid.branches0en_US
grid.identifier.urlhttps://electricgrids.engr.tamu.edu/electric-grid-test-cases/datasets-for-arpa-e-perform-program/-
grid.language.sw0en_US
grid.previousVersion.url0en_US
grid.newerVersion.url0en_US
Appears in Collections:Synthetic Data for Power Grid R&D

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