search

pnnl / GLIMPSE

GLIMPSE is a graph-based web application to visualize and update distribution power grid models.
Other
14 stars 2 forks source link

readme

NSD_2294_BRAND_HAGEN-GLIMPSE_final_color

v0.4.1 ✨

GLIMPSE is a graph-based desktop application to visualize and update GridLAB-D power grid models. The tool can be used to search and highlight power grid model objects. Additionally, it also update the model attributes and export the modified model future simulations. The application is developed using React.js, Electron.js, Node.js, and Python.

Build Instructions

:warning: Building the tool on an M3 Macbook currently not working: this is due to the glm parser used has not been updated to be compatible with the latest apple silicon. A solution for this to come soon.

Download Node and Nim

git clone http://github.com/pnnl/GLIMPSE

cd /GLIMPSE/glimpse/

npm install

npm run watch

# on another terminal run the following:
cd /GLIMPSE/glimpse/local-server/

python -m venv venv

In /GLIMPSE/glimpse/local-server/ Activate Virtual Environment using the following command for your system

Platform Shell Command to activate virtual environment
POSIX bash/zsh $ source <venv>/bin/activate
- fish $ source <venv>/bin/activate.fish
- csh/tcsh $ source <venv>/bin/activate.csh
- PowerShell $ <venv>/bin/Activate.ps1
Windows cmd.exe C:\> <venv>\Scripts\activate.bat
- PowerShell PS C:\> <venv>\Scripts\Activate.ps1 
pip install -r requirements.txt

Then in GLIMPSE/glimpse/ run

npm run start

Example:

We provide few examples of exploring starndard IEEE bus models using GLIMPSE. From the home page, upload all the ".glm" files from data/123-bus-model.

To re-uplaod files after visualization, click on the HOME button

ui

Cite as

@inproceedings{sanchez2024glimpse,
  title={GLIMPSE of Future Power Grid Models},
  author={Sanchez, Armando Mendoza and Purohit, Sumit},
  booktitle={2024 IEEE 18th International Conference on Semantic Computing (ICSC)},
  pages={224--225},
  year={2024},
  organization={IEEE}
}