Document Type
Article
Publication Date
6-2026
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
This paper presents a comparison of methods to determine the minimum number of placement locations for neutral blocking, global linear quadratic regulator (G-LQR), and local linear quadratic regulator (L-LQR) controllers throughout a power grid to prevent transformer saturation during the onset of an E3 high-altitude electromagnetic pulse (HEMP) disturbance. Different device placement configurations yield different efficacies in E3 HEMP mitigation. The first placement method discussed is a genetic algorithm (GA), which serves as a baseline optimizer test case. The scaling and run time of the GA depend on the complexity of the objective function and often times becomes intractable as the count of transformers on the grid increases. As a scalable alternative, this paper introduces the novel nodal elimination method, where a power grid is represented as a graph and critical nodes based on node degree are removed one at a time. Unlike the GA, which may run anywhere from O(1) to O(nn) depending on function complexity, the nodal elimination method is guaranteed to run in O(n). The novelty of this method is in its application to the power grid for HEMP E3 mitigation. The nodal elimination method identifies optimal placement locations with three orders of magnitude fewer iterations than the GA, demonstrating its viability and computational efficiency for optimal neutral blocking device placements. It is shown that with centralized and decentralized LQR controllers on a 20-bus and 150-bus grid, the nodal elimination method also finds solutions that require fewer controllers than the GA solutions.
Publication Title
Results in Control and Optimization
Recommended Citation
Lehman, C.,
Robinett, R.,
Lehman, Q.,
Wilson, D.,
&
Weaver, W.
(2026).
Nodal elimination for E3 HEMP mitigation: A physics-informed graph theory approach.
Results in Control and Optimization,
23.
http://doi.org/10.1016/j.rico.2026.100685
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/2489
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
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Publisher's PDF
Publisher's Statement
© 2026 The Authors. Publisher’s version of record: https://doi.org/10.1016/j.rico.2026.100685