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Birchfield Research Group

Texas A&M University College of Engineering
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Research

Research Interests

  • Power system modeling
  • Power system computational analysis
  • Synthetic power grids and datasets
  • Extreme event impacts on power systems
  • Dynamics and stability of power systems
  • Power system visualization

GridWorkbench is a Python package for power system modeling: See documentation here

Geomagnetically Induced Current

Low-frequency geomagnetically-induced currents (GIC) on the electric grid can be induced by rare geomagnetic events, and may impact electric grid infrastructure reliability and operations.

Along with PowerWorld Corporation, we developed the binary three-dimensional (B3D) file format to hold electric field data for GIC and other studies. See documentation here. Tools in Python and Matlab to read and write the B3D format are available on Github.

Synthetic Electric Grid Datasets

Building high-quality, freely-available power grid cases is a major emphasis of my research. Large, realistic test systems drive innovation for a smarter grid. These cases are built using a synthetic approach, which constructs fictitious transmission networks on real geography, integrated with actual, public data. We are building systems up to 70,000 buses with data for power flow and transient stability solutions. The synthetic power grid case repository hosts all our datasets for public download.

 
This 2000-bus synthetic Texas grid matches actual load and generation for Texas with a realistic, fictitious transmission grid. Download it here for your research!
Using a large, public test case for real-time operator scenarios allows students and researchers to gain intuitive insight into system dynamics.
Automatically-generated single line diagrams space the substations and route the lines in ways that maximize understanding of the system structure.

 

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