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SMART-DS SFO 2018 OpenDSS models

In progress License 

This dataset contains detailed electrical distribution network models, and connected timeseries loads for the greater San Francisco (SFO) bay area. It is intended to provide researchers with very realistic and complete models that can be used for extensive powerflow simulations under a variety of scenarios. The data is synthetic, but has been validated against thousands of utility feeders to ensure statistical and operational similarity to electrical distribution networks in the US.

The OpenDSS data is partitioned into several regions (each zipped separately). After unzipping these files, each region has a folder for each substation, and subsequent folders for each feeder within the substation. This allows users to simulate smaller sections of the full dataset. Each of these folders (region, substation and feeder) has a folder titled "analysis" which contains CSV files listing voltages and overloads throughout the network for the peak loading time in the year. It also contains .png files showing the loading of residential and commercial loads on the network for every day of the year, and daily breakdowns of loads for commercial building categories. Timeseries data is provided in the ?profiles? folder including real and reactive power at 15 minute resolution along with parquet files in the "endues" folder with breakdowns of building end-uses.

Citation Formats

National Renewable Energy Laboratory (NREL). (2020). SMART-DS SFO 2018 OpenDSS models [data set]. Retrieved from https://data.openei.org/submissions/2981.
Export Citation to RIS
Palmintier, Bryan, Mateo Domingo, Carlos, Postigo Marcos, Fernando Emilio, Gomez San Roman, Tomas, de Cuadra, Fernando, Gensollen, Nicolas, Elgindy, Tarek, and Duenas, Pablo. SMART-DS SFO 2018 OpenDSS models. United States: N.p., 18 Dec, 2020. Web. https://data.openei.org/submissions/2981.
Palmintier, Bryan, Mateo Domingo, Carlos, Postigo Marcos, Fernando Emilio, Gomez San Roman, Tomas, de Cuadra, Fernando, Gensollen, Nicolas, Elgindy, Tarek, & Duenas, Pablo. SMART-DS SFO 2018 OpenDSS models. United States. https://data.openei.org/submissions/2981
Palmintier, Bryan, Mateo Domingo, Carlos, Postigo Marcos, Fernando Emilio, Gomez San Roman, Tomas, de Cuadra, Fernando, Gensollen, Nicolas, Elgindy, Tarek, and Duenas, Pablo. 2020. "SMART-DS SFO 2018 OpenDSS models". United States. https://data.openei.org/submissions/2981.
@div{oedi_2981, title = {SMART-DS SFO 2018 OpenDSS models}, author = {Palmintier, Bryan, Mateo Domingo, Carlos, Postigo Marcos, Fernando Emilio, Gomez San Roman, Tomas, de Cuadra, Fernando, Gensollen, Nicolas, Elgindy, Tarek, and Duenas, Pablo.}, abstractNote = {This dataset contains detailed electrical distribution network models, and connected timeseries loads for the greater San Francisco (SFO) bay area. It is intended to provide researchers with very realistic and complete models that can be used for extensive powerflow simulations under a variety of scenarios. The data is synthetic, but has been validated against thousands of utility feeders to ensure statistical and operational similarity to electrical distribution networks in the US.

The OpenDSS data is partitioned into several regions (each zipped separately). After unzipping these files, each region has a folder for each substation, and subsequent folders for each feeder within the substation. This allows users to simulate smaller sections of the full dataset. Each of these folders (region, substation and feeder) has a folder titled "analysis" which contains CSV files listing voltages and overloads throughout the network for the peak loading time in the year. It also contains .png files showing the loading of residential and commercial loads on the network for every day of the year, and daily breakdowns of loads for commercial building categories. Timeseries data is provided in the ?profiles? folder including real and reactive power at 15 minute resolution along with parquet files in the "endues" folder with breakdowns of building end-uses. }, doi = {}, url = {https://data.openei.org/submissions/2981}, journal = {}, number = , volume = , place = {United States}, year = {2020}, month = {12}}

Details

Data from Dec 18, 2020

Last updated Jan 6, 2021

Submission in progress

Organization

National Renewable Energy Laboratory (NREL)

Contact

Tarek Elgindy

Authors

Bryan Palmintier

National Renewable Energy Laboratory NREL

Carlos Mateo Domingo

Universidad Pontificia Comillas

Fernando Emilio Postigo Marcos

Universidad Pontificia Comillas

Tomas Gomez San Roman

Universidad Pontificia Comillas

Fernando de Cuadra

Universidad Pontificia Comillas

Nicolas Gensollen

National Renewable Energy Laboratory NREL

Tarek Elgindy

National Renewable Energy Laboratory NREL

Pablo Duenas

Massachusetts Institute of Technology MIT

DOE Project Details

Project Name SMART-DS

Project Number 15CJ0000703

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