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Filtering by: Advisor Cotilla-Sanchez, Eduardo Advisor Cotilla Sanchez, Eduardo J.

Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed Real-Time Hardware-In-the-Loop Simulations, and Machine Learning for Event Detection

Creator:

Hagan, Travis

Abstract:

Global Positioning Systems have allowed for precise timing of power system measurements over wide areas. This newly found capability has the potential to provide much greater insight into the operation of the power system and its response to contingencies, but few analytical techniques currently exist that provide enough robustness and...

Resource Type:

Dissertation
Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

Creator:

Lassetter, Austin R.

Abstract:

This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...

Resource Type:

Masters Thesis

Full Text:

ACKNOWLEDGEMENTS I would like to thank my adviser, Eduardo Cotilla-Sanchez for his continued guid- ance