Multiple event detection and recognition for large-scale power systems through cluster-based sparse coding

Y Song, W Wang, Z Zhang, H Qi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Accurate event analysis in real time is of paramount importance for high-fidelity situational
awareness such that proper actions can take place before any isolated faults escalate to …

Multiple event detection and recognition through sparse unmixing for high-resolution situational awareness in power grid

W Wang, L He, P Markham, H Qi, Y Liu… - … on Smart Grid, 2014 - ieeexplore.ieee.org
A situational awareness system is essential to provide accurate understanding of power
system dynamics, such that proper actions can be taken in real time in response to system …

Event detection, localization, and classification based on semi-supervised learning in power grids

F Yang, Z Ling, Y Zhang, X He, Q Ai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Real-time situational awareness and event analysis are crucial to the security of the modern
power grid, which is a complicated nonlinear system and hard to be completely modeled …

Identifying overlapping successive events using a shallow convolutional neural network

W Li, M Wang - IEEE Transactions on Power Systems, 2019 - ieeexplore.ieee.org
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 …

Fast event identification through subspace characterization of PMU data in power systems

W Li, M Wang, JH Chow - 2017 IEEE Power & Energy Society …, 2017 - ieeexplore.ieee.org
This paper proposes a data-driven fast event identification method based on the
measurements of Phasor Measurement Units (PMUs). The central idea is to characterize an …

Block-wise compressive sensing based multiple line outage detection for smart grid

F Yang, J Tan, J Song, Z Han - IEEE Access, 2018 - ieeexplore.ieee.org
Smart grids, which have the ability to detect and monitor necessary system parameters and
user behaviors, have gradually become the development trend for future power networks …

Application of compressive sensing for distributed and structured power line outage detection in smart grids

M Babakmehr, MG Simoes, A Al-Durra… - 2015 American …, 2015 - ieeexplore.ieee.org
Fast and accurate identification and localization of power line outages is one of the critical
issues for efficient monitoring and control tasks in future smart grids. In this work, considering …

Wide-area identification of the size and location of loss of generation events by sparse PMUs

S Azizi, MR Jegarluei, AS Dobakhshari… - … on Power Delivery, 2020 - ieeexplore.ieee.org
Timely identification of the size and location of loss of generation (LoG) events improves the
effectiveness of remedial actions taken against this type of disturbances. This paper sets …

Post-fault prediction of transient instabilities using stacked sparse autoencoder

M Mahdi, VMI Genc - Electric Power Systems Research, 2018 - Elsevier
Post-fault prediction of transient stability of power systems has a great impact on the
performance of wide area monitoring, protection and control systems. Situational awareness …

Compressive informative sparse representation-based power quality events classification

M Babakmehr, H Sartipizadeh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Power quality (PQ) events are referred to any abnormal deviation from the standard
sinusoidal behavior of power signals within a power system. PQ events are usually studied …