Linearized Distribution Optimal Power Flow for OEDI SI

Sadnan, Rabayet; Poudel, Shiva; Mckinsey, Joseph; Slay, Tylor

doi:10.25984/2202772

Title: Linearized Distribution Optimal Power Flow for OEDI SI

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Abstract

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.

Authors:

Sadnan, Rabayet; Poudel, Shiva; Mckinsey, Joseph; Slay, Tylor

Pacific Northwest National Laboratory

Publication Date:: Tue Oct 03 04:00:00 UTC 2023

Other Number(s):: 5972

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

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

Collaborations:: Pacific Northwest National Laboratory

Subject:: Array; DOPF; PV; algorithm; code; distribution; energy; grid; linearized distribution; oedi si; optimal power flow; power; power flow; python; simulation; solar; solar power

OSTI Identifier:: 2202772

DOI:: https://doi.org/10.25984/2202772

Citation Formats


                    Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, and Slay, Tylor. Linearized Distribution Optimal Power Flow for OEDI SI.  United States: N. p., 2023. 
        Web.  doi:10.25984/2202772.

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                    Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, & Slay, Tylor. Linearized Distribution Optimal Power Flow for OEDI SI.  United States.  doi:https://doi.org/10.25984/2202772

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                    Sadnan, Rabayet, Poudel, Shiva, Mckinsey, Joseph, and Slay, Tylor. 2023.  
"Linearized Distribution Optimal Power Flow for OEDI SI".  United States.  doi:https://doi.org/10.25984/2202772.  https://www.osti.gov/servlets/purl/2202772. Pub date:Tue Oct 03 04:00:00 UTC 2023

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@article{osti_2202772,

  title        = {Linearized Distribution Optimal Power Flow for OEDI SI},

  author       = {Sadnan, Rabayet and Poudel, Shiva and 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},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Oct 03 04:00:00 UTC 2023},

  month        = {Tue Oct 03 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.25984/2202772

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