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Linearized Distribution Optimal Power Flow for OEDI SI

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This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage measurements. The co-simulation runs every 15 minutes as outlined within the scenario file for the given feeder configuration.

The linked GitHub repository includes five federates to achieve DOPF for the small, medium, large, and IEEE 123 feeder scenarios. We are using the OEDI SI framework, as well as the example feeder, sensor, recorder, and estimator federates provided in the example repository for OEDI SI. We also provide a runner script for switching between scenarios.

Citation Formats

Pacific Northwest National Laboratory. (2023). Linearized Distribution Optimal Power Flow for OEDI SI [data set]. Retrieved from https://dx.doi.org/10.25984/2202772.
Export Citation to RIS
Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, and Slay, Tylor. Linearized Distribution Optimal Power Flow for OEDI SI. United States: N.p., 03 Oct, 2023. Web. doi: 10.25984/2202772.
Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, & Slay, Tylor. Linearized Distribution Optimal Power Flow for OEDI SI. United States. https://dx.doi.org/10.25984/2202772
Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, and Slay, Tylor. 2023. "Linearized Distribution Optimal Power Flow for OEDI SI". United States. https://dx.doi.org/10.25984/2202772. https://data.openei.org/submissions/5972.
@div{oedi_5972, title = {Linearized Distribution Optimal Power Flow for OEDI SI}, author = {Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, and Slay, Tylor.}, abstractNote = {This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage measurements. The co-simulation runs every 15 minutes as outlined within the scenario file for the given feeder configuration.

The linked GitHub repository includes five federates to achieve DOPF for the small, medium, large, and IEEE 123 feeder scenarios. We are using the OEDI SI framework, as well as the example feeder, sensor, recorder, and estimator federates provided in the example repository for OEDI SI. We also provide a runner script for switching between scenarios.}, doi = {10.25984/2202772}, url = {https://data.openei.org/submissions/5972}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {10}}
https://dx.doi.org/10.25984/2202772

Details

Data from Oct 3, 2023

Last updated Oct 19, 2023

Submitted Oct 3, 2023

Organization

Pacific Northwest National Laboratory

Contact

Tylor Slay

971.331.5962

Authors

Rabayet Sadnan

Pacific Northwest National Laboratory

Shiva Poudel

Pacific Northwest National Laboratory

Joseph Mckinsey

National Renewable Energy Laboratory NREL

Tylor Slay

Pacific Northwest National Laboratory

DOE Project Details

Project Name SETO OEDI Data & Analytics Library

Project Number EE0054321

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