oedisi_dopf

OpenEDI - System Integration (OEDI-SI) - PNNL Distributed Optimal Power Flow (DOPF)

https://github.com/pnnl/oedisi_dopf

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

OpenEDI - System Integration (OEDI-SI) - PNNL Distributed Optimal Power Flow (DOPF)

Basic Info
Statistics
  • Stars: 5
  • Watchers: 3
  • Forks: 5
  • Open Issues: 3
  • Releases: 2
Created about 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

OEDISI DOPF

Open Energy Data Initiative - Solar Systems Integration Data and Analytics (OEDI-SI) Distributed Optimal Power Flow

Docker

Once the container is build and running, follow the link to the jupyter notebook and selet the workflow.ipynb notebook and follow the instructions for selecting scenarios and running the co-simulation.

  • <repo> should be created in dockerhub before building to make pushing easier later
  • <tag> follow tagging convention 0.0.0
  • <model> will designate which model: ieee123, SFO/P1U, SFO/P6U, ...
  • <algo> will specify witch dockerfile to build

shell docker build -t openenergydatainitiative/<repo>:<tag> --build-arg MODEL=<model> -f Dockerfile.<algo> . docker run --rm -it -p 8888:8888 openenergydatainitiative/<repo>:<tag>

Setup

shell python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt

or

shell poetry update

Building EKF

There is one federate that is not a python script that must be built. Use the following script which will build the dependencies and copy the exe files into the ekf_federate directory. You may be prompted to entry your password multiple times.

shell ./build_ekf.sh

Jupyter Notebook

The following notebook provides a more interactive experiance and a frontend for the container if you are running in docker. Once the notebook is running open the notebook link with it's generated token.

shell jupyter notebook workflow.ipynb

Build and Run

Replace the <scenario> below to point to the desired scenario folder name

shell ./run.sh <scenario>

or

shell poetry ./run.sh <scenario>

Owner

  • Name: Pacific Northwest National Laboratory (Public)
  • Login: pnnl
  • Kind: organization
  • Email: dev-central@pnnl.gov
  • Location: United States of America

This Org is intended for the hosting of approved released PNNL software repositories for public use and collaboration.

GitHub Events

Total
  • Watch event: 1
  • Delete event: 8
  • Push event: 36
  • Pull request event: 7
  • Fork event: 3
  • Create event: 8
Last Year
  • Watch event: 1
  • Delete event: 8
  • Push event: 36
  • Pull request event: 7
  • Fork event: 3
  • Create event: 8

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 3
  • Total pull requests: 30
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 1 day
  • Total issue authors: 2
  • Total pull request authors: 4
  • Average comments per issue: 0.67
  • Average comments per pull request: 0.03
  • Merged pull requests: 23
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 9
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Issue authors: 0
  • Pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Tylores (2)
  • nathantgray (1)
Pull Request Authors
  • Tylores (29)
  • rounak-meyur (10)
  • nathantgray (4)
  • bmitrauncc (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • OpenDSSDirect.py ==0.7.0
  • boto3 *
  • cvxpy *
  • helics ==3.4.0
  • helics-apps ==3.4.0
  • matplotlib *
  • numpy *
  • oedisi ==1.0.0
  • pandas *
  • pyarrow *
  • pydantic >=1.7,<2
  • scipy *
  • xarray *
Dockerfile docker
  • python 3.10.6-slim-bullseye build