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Thomas J. Overbye

Researcher at Texas A&M University

Publications -  342
Citations -  9674

Thomas J. Overbye is an academic researcher from Texas A&M University. The author has contributed to research in topics: Electric power system & Grid. The author has an hindex of 48, co-authored 308 publications receiving 8315 citations. Previous affiliations of Thomas J. Overbye include United States Department of the Army & Arkansas State University.

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Proceedings ArticleDOI

Planning Sensitivities for Building Contingency Robustness and Graph Properties into Large Synthetic Grids

TL;DR: New techniques based on system planning sensitivities are integrated into a synthesis methodology to mimic the constraints used in designing actual grids, and shed light on how the underlying graph structure of power grids reflects the engineering requirements of their design.
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Building Synthetic Power Transmission Networks of Many Voltage Levels, Spanning Multiple Areas

TL;DR: A fast, scalable hierarchical clustering is designed to assign voltage levels to substations considering the needs of the system, the specific constraints of the area, and smooth interconnections between neighboring areas with different voltage levels.
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Enhanced measurement-based dynamic equivalence using coherency identification

TL;DR: The proposed method uses generator equivalent model and shows how to choose a proper number of generators for the equivalent model structure using coherency concept and preserves relevant modes from the external and thus enhances the simulation performance of the dynamic equivalent.
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Power flow studies in the presence of geomagnetically induced currents

TL;DR: In this article, the authors embed the modeling and simulation of geomagnetically induced currents, GIC, into power flow simulation software, allowing the study of sensitivity and transient stability of the North American bulk power system under the distress of a geomagnetic storm.
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Adaptive Influence Distance Algorithm for Contouring Bus-Based Power System Data

TL;DR: A new algorithm presented here uses the concept of creating a unique influence distance for each bus, based on the closest g number of buses, instead of previous methods that use the same influence distancefor each bus.