Development of a Distribution Optimal Power Flow Federate for Open-Source OEDI-SI Platform

Rabayet Sadnan, Tylor Slay, Shiva Poudel, Bhaskar Mitra, Andrew Reiman, Jim Follum, Joseph Mckinsey, Rui Yang

Research output: Contribution to conferencePaper


Increasing numbers of distributed generators in the electric power distribution networks require developing a control strategy to optimize solutions in real time. Linearized optimal distribution flow development has seen growth and acceptance in the distribution systems literature for efficiently modeling the Optimal Power Flows (OPFs) for distribution systems. This paper examines the implementation and integration procedure for linearized optimal distribution flow federate to Open Energy Data Initiative Systems Integration (OEDI-SI) platform. Specifically, we discuss i) the usage of the OEDI-SI platform, ii) obtaining a tractable solution using developed OPF federate, and iii) validation of solutions and benchmarking the OEDI-SI platform with developed OPF federate using OpenDSS. In brief, we demonstrate how a general linearized optimal distribution flow federate can be developed and integrated with a co-simulation environment to mimic real-world examples. The efficacy of the proposed method is demonstrated using the IEEE 123-bus test system under different scenarios to obtain a tractable solution and compare its results.
Original languageAmerican English
Number of pages5
StatePublished - 2024
Event2024 IEEE Green Technologies Conference (GreenTech) - Springdale, Arkansas
Duration: 3 Apr 20245 Apr 2024


Conference2024 IEEE Green Technologies Conference (GreenTech)
CitySpringdale, Arkansas

NREL Publication Number

  • NREL/CP-6A40-90118


  • distributed generation
  • distribution optimal power flow
  • grid modernization
  • photovoltaic systems


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