GridSight

An interactive web tool for dynamically visualizing grid related data.

Caution

This software is experimental and subject to change.

Key Features

1. Visually animate and play through each timestep.
2. Dynamically filter both generators and transmission lines.
3. Web apis to upload new PCM scenarios as part of your modeling pipeline.

Data Format (General)

The animation engine loops through rows in the timeseries data and maps them to transmission or generator geometries.

Follow the instructions here for uploading new scenarios to GridSight.

Development and Testing Setup

To set up you will need python3 and node installed locally.

Run docker-compose build and docker-compose up

Install the gridsight client into your virtual environment.

pip install . or pip install git+https://www.github.com/NREL/GridSight

To upload the demonstration data run python upload_test_data.py

After uploading data, log in and adjust the layer styles to scale up the generation and transmission radius/width.

Roadmap

1. Generalization of animated layers to allow any type of geometry+timeseries
2. Allow Custom Color maps.
3. Multi-Scenario animation and comparison.
4. Drilldown capabilities into individual generators/lines and geographic areas (aggregate generation or transmission).

Additional Notes

This software was developed as part of the National Transmission Planning study.

NREL software record: SWR-24-16

Geometry data was sourced from the Texas2k Series24 datasets. Timeseries data is completely fictional. https://electricgrids.engr.tamu.edu/activsg2000-dynamics-cases-2024/