357 citations · 695 across the 13 of their papers we have counts for
15 papers
Increasing Resilience of Smart Home Agents
Christopher Terrazas, Eduardo Cotilla-Sanchez
Smart homes and smart devices are becoming more prevalent across millions of homes around the world. With the rise of AI, the smart home industry is quickly increasing its integrat…
Developing Optimization-Based Inverter Models for Short Circuit Studies
Thabiso R. Mabote, Jose E. Tabarez, Arthur K. Barnes +3
As inverter-based generation becomes more common in distribution networks, it is important to create models for use in optimization-based problems that accurately represent their n…
Relaxation Based Modeling of GMD Induced Cascading Failures in PowerModelsGMD.jl
Adam Mate, Arthur K. Barnes, Steven K. Morley +3
A major risk of geomagnetic disturbances (GMDs) is cascading failure of electrical grids. The modeling of GMD events and cascading outages in power systems is difficult, both indep…
Impacts of Earthquakes on Electrical Grid Resilience
Adam Mate, Travis Hagan, Eduardo Cotilla-Sanchez +2
One of the most complex and devastating disaster scenarios that the U.S.~Pacific Northwest region and the state of Oregon faces is a large magnitude Cascadia Subduction Zone earthq…
On PMU Data Integrity under GPS Spoofing Attacks: A Sparse Error Correction Framework
Shashini De Silva, Jinsub Kim, Eduardo Cotilla-Sanchez +1
Consider the problem of mitigating the impact on data integrity of phasor measurement units (PMUs) given a GPS spoofing attack. We present a sparse error correction framework to tr…
A Coupled Karhunen--Loève and Anisotropic Sparse Grid Interpolation Method for the Probabilistic Load Flow Problem
Brandon Johnson, Nathan L. Gibson, Eduardo Cotilla-Sanchez
In the traditional load flow analysis, a key assumption is that the input variables, i.e., generator output and customer demand, are fixed in time and the associated response has n…
Evaluating Measurement-Based Dynamic Load Modeling Techniques and Metrics
Phylicia Cicilio, Eduardo Cotilla-Sanchez
Wide-area data and algorithms in large power systems are creating new opportunities for implementation of measurement-based dynamic load modeling techniques. These techniques impro…
A Learning Scheme for Microgrid Islanding and Reconnection
Carter Lassetter, Eduardo Cotilla-Sanchez, Jinsub Kim
This paper introduces a potential learning scheme that can dynamically predict the stability of the reconnection of sub-networks to a main grid. As the future electrical power syst…
A Network-of-Networks Model for Electrical Infrastructure Networks
Mahantesh Halappanavar, Eduardo Cotilla-Sanchez, Emilie Hogan +4
Modeling power transmission networks is an important area of research with applications such as vulnerability analysis, study of cascading failures, and location of measurement dev…
A Backend Framework for the Efficient Management of Power System Measurements
Ben McCamish, Rich Meier, Jordan Landford +3
Increased adoption and deployment of phasor measurement units (PMU) has provided valuable fine-grained data over the grid. Analysis over these data can provide insight into the hea…
Dynamic Modeling of Cascading Failure in Power Systems
Jiajia Song, Eduardo Cotilla-Sanchez, Goodarz Ghanavati +1
The modeling of cascading failure in power systems is difficult because of the many different mechanisms involved; no single model captures all of these mechanisms. Understanding t…
A Policy Switching Approach to Consolidating Load Shedding and Islanding Protection Schemes
Rich Meier, Eduardo Cotilla-Sanchez, Alan Fern
In recent years there have been many improvements in the reliability of critical infrastructure systems. Despite these improvements, the power systems industry has seen relatively…
Understanding early indicators of critical transitions in power systems from autocorrelation functions
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba +1
Many dynamical systems, including power systems, recover from perturbations more slowly as they approach critical transitions---a phenomenon known as critical slowing down. If the…
Calculation of the Autocorrelation Function of the Stochastic Single Machine Infinite Bus System
Goodarz Ghanavati, Paul D. H. Hines, Taras Lakoba +1
Critical slowing down (CSD) is the phenomenon in which a system recovers more slowly from small perturbations. CSD, as evidenced by increasing signal variance and autocorrelation,…
Do topological models provide good information about vulnerability in electric power networks?
Paul Hines, Eduardo Cotilla-Sanchez, Seth Blumsack
In order to identify the extent to which results from topological graph models are useful for modeling vulnerability in electricity infrastructure, we measure the susceptibility of…