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Found 11 papers, 1 papers with code
Developing Optimization-Based Inverter Models for Short Circuit Studies
This work lays down the foundation for the development of relaxed models for both grid-following and grid-forming inverter models for use in optimization problems.
Toward Models of Impact and Recovery of the US Western Grid from Earthquake Events
A Cascadia Subduction Zone (CSZ) earthquake will cause widespread damage to numerous lifelines and infrastructure along the northern US west coast.
Relaxation Based Modeling of GMD Induced Cascading Failures in PowerModelsGMD.jl
A major risk of geomagnetic disturbances (GMDs) is cascading failure of electrical grids.
Load Oscillating Attacks of Smart Grids: Demand Strategies and Vulnerability Analysis
We investigate the vulnerability of a power transmission grid to load oscillation attacks.
Impacts of Earthquakes on Electrical Grid Resilience
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 earthquake event.
Analyzing and Mitigating the Impacts of GMD and EMP Events on the Electrical Grid with PowerModelsGMD.jl
Geomagnetic disturbances and E3 high-altitude electromagnetic pulse events pose a substantial threat to the electrical grid by adversely impacting and damaging high-voltage transmission networks and equipment.
On PMU Data Integrity under GPS Spoofing Attacks: A Sparse Error Correction Framework
We present a sparse error correction framework to treat PMU measurements that are potentially corrupted due to a GPS spoofing attack.
Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data
Phasor measurement units (PMUs) provide high-fidelity data that improve situation awareness of electric power grid operations.
A Coupled Karhunen--Loève and Anisotropic Sparse Grid Interpolation Method for the Probabilistic Load Flow Problem
The challenge of the PLF problem lies in handling high-dimensional input uncertainties and the non-linearity of the load flow equations.
A Learning Scheme for Microgrid Islanding and Reconnection
A support vector machine (SVM) leveraging real-time data from phasor measurement units (PMUs) is proposed to predict in real time whether the reconnection of a sub-network to the main grid would lead to stability or instability.
Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks
Modern power systems have begun integrating synchrophasor technologies into part of daily operations.
