Sample IEEE123 Bus system for OEDI SI

Elgindy, Tarek; Balasubramaniam, Karthikeyan

doi:10.25984/2228282

Title: Sample IEEE123 Bus system for OEDI SI

Dataset
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Abstract

Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder), but some modifications were made to it to add some solar power modules and measurements on the system. The aim of this project is to create an easy-to-use platform where various types of analytics can be performed on a wide range of electrical grid datasets. The aim is to establish an open-source library of algorithms that universities, national labs and other developers can contribute to which can be used on both open-source and proprietary grid data to improve the analysis of electrical distribution systems for the grid modeling community. OEDI Systems Integration (SI) is a grid algorithms and data analytics API created to standardize how data is sent between different modules that are run as part of a co-simulation. The readme file included in the S3 bucket provides information about the directory structure and how to use the algorithms. The sensors.json file is used to define the measurementmore » locations.« less

Authors:

Elgindy, Tarek; Balasubramaniam, Karthikeyan

National Renewable Energy Laboratory

Publication Date:: Thu Sep 01 04:00:00 UTC 2022

Other Number(s):: 5773

Research Org.:: DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)

Collaborations:: National Renewable Energy Laboratory

Subject:: 123 bus; Array; IEEE 123 bus; IEEE PES test feeders; PV; PV data; QSTS; algorithms; distributed solar; energy; gadal; grid algorithms and data analytics library; oedi; oedi si; power; quasi-static time series; systems integration; test system; time series

OSTI Identifier:: 2228282

DOI:: https://doi.org/10.25984/2228282

Citation Formats


                    Elgindy, Tarek, and Balasubramaniam, Karthikeyan. Sample IEEE123 Bus system for OEDI SI.  United States: N. p., 2022. 
        Web.  doi:10.25984/2228282.

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                    Elgindy, Tarek, & Balasubramaniam, Karthikeyan. Sample IEEE123 Bus system for OEDI SI.  United States.  doi:https://doi.org/10.25984/2228282

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                    Elgindy, Tarek, and Balasubramaniam, Karthikeyan. 2022.  
"Sample IEEE123 Bus system for OEDI SI".  United States.  doi:https://doi.org/10.25984/2228282.  https://www.osti.gov/servlets/purl/2228282. Pub date:Thu Sep 01 04:00:00 UTC 2022

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@article{osti_2228282,

  title        = {Sample IEEE123 Bus system for OEDI SI},

  author       = {Elgindy, Tarek and Balasubramaniam, Karthikeyan},

  abstractNote = {Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder), but some modifications were made to it to add some solar power modules and measurements on the system. The aim of this project is to create an easy-to-use platform where various types of analytics can be performed on a wide range of electrical grid datasets. The aim is to establish an open-source library of algorithms that universities, national labs and other developers can contribute to which can be used on both open-source and proprietary grid data to improve the analysis of electrical distribution systems for the grid modeling community. OEDI Systems Integration (SI) is a grid algorithms and data analytics API created to standardize how data is sent between different modules that are run as part of a co-simulation. The readme file included in the S3 bucket provides information about the directory structure and how to use the algorithms. The sensors.json file is used to define the measurement locations.},

  doi          = {10.25984/2228282},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Sep 01 04:00:00 UTC 2022},

  month        = {Thu Sep 01 04:00:00 UTC 2022}

}

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DOI: https://doi.org/10.25984/2228282

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