Building realistic electric transmission grid dataset at scale: a pipeline from open dataset

This article discusses the development of a method to build realistic electric transmission grid datasets using publicly available data. The primary goal is to enable detailed analysis and planning for electricity grids without requiring access to restricted infrastructure data.

Key Points:

1. Geographically Grounded Models:

   • The models are grounded in real geography, leveraging open-source data from platforms like OpenStreetMap.
   • This approach allows for the creation of transmission-level power flow analyses that reflect actual physical constraints and margins.

2. Feasibility Analysis:

   • By grounding models in real-world geography, it becomes possible to conduct feasibility studies on grid expansion projects, such as adding new transmission lines or placing new demand centers.
   • For example, the article illustrates how hypothetical high-temperature superconducting (HTS) links can alleviate congestion in urban areas.

3. Demand Siting Decisions:

   • The models help determine where new electricity demand (e.g., datacenters) can be placed without causing transmission line overloads.
   • This is crucial for making informed decisions about infrastructure investments and avoiding unnecessary costs associated with grid reinforcement.

4. Dataset Release:

   • An open dataset of grid models spanning 48 U.S. states

Read the full article at Microsoft Research

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