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dc.contributor.authorDiao, Ruisheng-
dc.date.accessioned2017-07-14T15:35:37Z-
dc.date.available2017-07-14T15:35:37Z-
dc.date.issued2017-06-
dc.identifier.urihttp://item.bettergrids.org/handle/1001/256-
dc.description.abstractPacific Northwest National Laboratory (PNNL) and its power industry and software vendor partners are developing an innovative sustainable data evolution technology (SDET) to create open-access power grid datasets and facilitate updates to these datasets by the power grid community. The objective is to make this a sustained effort within and beyond the ARPA-E GRID DATA program so that the datasets can evolve over time and meet the current and future needs for power grid optimization and potentially other applications in power grid operation and planning. The SDET approach will uniquely 1) derive features and metrics for both transmission and distribution (T&D) systems by analyzing many public and private datasets provided by our industry partners National Rural Electric Cooperative Association (NRECA), PJM Interconnection (PJM), California Independent System Operator (CAISO), and Avista Utilities (Avista); 2) develop data-creation tools and use these tools to generate large-scale open-access realistic datasets that comply with the metrics for both T&D systems, and 3) validate the created datasets using industry tools provided by our vendor partner General Electric (GE). This case has good power flow convergence at the base case.en_US
dc.publisherPacific Northwest National Laboratoryen_US
dc.titleSDET3000 Case A - Transmissionen_US
dc.typeGrid Model Dataseten_US
grid.publisher.urlhttps://egriddata.org/group/sustainable-data-evolution-technology-sdeten_US
grid.formatPTI-PSS-Een_US
grid.identifier.urlhttps://egriddata.org/dataset/sdet3000-case-
Appears in Collections:SDET

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PSSE Data Model1.51 MBPTI PSSE


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August 09, 2017 16:30
8 years ago
Please provide the dynamic data files for the corresponding PSSE RAW data format. Thank You.

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