Linearized Distribution Optimal Power Flow for OEDI SI
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.
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
Authors
Research Areas
Keywords
energy, power, optimal power flow, distribution, PV, simulation, linearized distribution, power flow, grid, DOPF, oedi si, solar, solar power, code, algorithm, pythonDOE Project Details
Project Name SETO OEDI Data & Analytics Library
Project Number EE0054321
