Real-time faulted line localization and PMU placement in power systems through convolutional neural networks
Diverse fault types, fast reclosures, and complicated transient states after a fault event make
real-time fault location in power grids challenging. Existing localization techniques in this …
real-time fault location in power grids challenging. Existing localization techniques in this …
Power grid state estimation following a joint cyber and physical attack
This paper focuses on joint cyber and physical attacks on power grids and presents methods
to retrieve the grid state information following such an attack. We consider a model where an …
to retrieve the grid state information following such an attack. We consider a model where an …
Real-time event identification through low-dimensional subspace characterization of high-dimensional synchrophasor data
This paper proposes a data-driven real-time event identification method based on the
measurements of Phasor Measurement Units (PMUs). The central idea is to characterize an …
measurements of Phasor Measurement Units (PMUs). The central idea is to characterize an …
REACT to cyber attacks on power grids
Motivated by the recent cyber attack on the Ukrainian power grid, we study cyber attacks on
power grids that affect both the physical infrastructure and the data at the control center …
power grids that affect both the physical infrastructure and the data at the control center …
Statistical power system line outage detection under transient dynamics
G Rovatsos, X Jiang… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
A quickest change detection (QCD) algorithm is proposed to address the problem of
detecting and identifying line outages in a power system. The statistics of electricity demand …
detecting and identifying line outages in a power system. The statistics of electricity demand …
Identifying overlap** successive events using a shallow convolutional neural network
Real-time identification of successive events in power systems is crucial to avoid cascading
failures. Existing identification methods are mainly designed for single events and may not …
failures. Existing identification methods are mainly designed for single events and may not …
Line failure detection after a cyber-physical attack on the grid using Bayesian regression
We study the problem of line failure detection following a cyber-physical attack. Since such
attacks can result in line trip**s (by remotely activating switches) as well as loss of …
attacks can result in line trip**s (by remotely activating switches) as well as loss of …
A learning-to-infer method for real-time power grid multi-line outage identification
Identifying a potentially large number of simultaneous line outages in power transmission
networks in real time is a computationally hard problem. This is because the number of …
networks in real time is a computationally hard problem. This is because the number of …
Distributed finite-time observer for multiple line outages detection in power systems
Y Chen, ZW Liu, G Wen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fast detection of power line outages is critical for maintaining the stable operation of the
power system. The aim of this article is to address the real time detection problem of multiple …
power system. The aim of this article is to address the real time detection problem of multiple …
EXPOSE the line failures following a cyber-physical attack on the power grid
Recent attacks on power grids demonstrated their vulnerability to cyber and physical attacks.
To analyze this vulnerability, we study cyber-physical attacks that affect both the power grid …
To analyze this vulnerability, we study cyber-physical attacks that affect both the power grid …