Power Grid Model DS: Simplifying Data Science for Distribution Sys...
summary
Open-source power-grid-model-ds packages a fast C/Python calculation core into a Python data-science toolkit that runs power flow, state estimation, short-circuit on symmetric and newly supported asymmetric lines, adds columnar I/O, a generic-branch component, and current-sensor measurements; a Grid class keeps a NumPy array backend and a NetworkX graph synchronized for scalable batch runs and local topology queries. Development spans about four to five years inside Alliander and is already used for 24–48 hour operation, connection studies and 40-year investment simulations.
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chapters (12)
- 0:00Introduction and motivation
- 1:24Grid congestion challenges worldwide
- 2:50Power Grid Model overview
- 4:20Project requirements and community
- 6:31Recent developments in Power Grid Model
- 8:18Power Grid Model DS introduction
- 10:03Data science workflow with Power Grid Model DS
- 12:54Graph and array representations
- 15:18Visualization and debugging
- 16:21Use cases in distribution systems
- 19:19Community and next steps
- 20:24Q&A session
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