Failure mitigation, vulnerability detection and persistence of network flows in complex systems
Loading...
Authors
Moussawi, Alaa M
Issue Date
2018-05
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Physics
Alternative Title
Abstract
On a less theoretical yet more applicable note, we study anomaly occurrences in the distribution grid. We utilize data harvested from phasor measurement units (PMUs) in the distribution grid. The department of energy (DOE) placed these remote sensors in various locations throughout the distribution grid in the past decade in an effort to improve the monitoring, resilience, and efficiency of maintenance, in the distribution grid. The first task is to identify the occurrence of anomalies in the data set. This is performed through a statistical measure indicating the likelihood of an incoming signal. Next the data is classified into one of nine expert-identified classes. Learning algorithms are then trained on this data set that has been labeled by the expert. The performance of the model is investigated.
Description
May 2018
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY