A review of machine learning approaches to power system security and stability

OA Alimi, K Ouahada, AM Abu-Mahfouz - IEEE Access, 2020 - ieeexplore.ieee.org
Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …

On vulnerability and resilience of cyber-physical power systems: A review

S Paul, F Ding, K Utkarsh, W Liu… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Power systems have been transformed into cyber-physical systems that integrate electric
grids with advanced information technology and operational technology. To ensure reliable …

Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers

G Ateniese, LV Mancini, A Spognardi… - … Journal of Security …, 2015 - inderscienceonline.com
Machine-learning (ML) enables computers to learn how to recognise patterns, make
unintended decisions, or react to a dynamic environment. The effectiveness of trained …

Dimensionality reduction of synchrophasor data for early event detection: Linearized analysis

L **e, Y Chen, PR Kumar - IEEE Transactions on Power …, 2014 - ieeexplore.ieee.org
This paper studies the fundamental dimensionality of synchrophasor data, and proposes an
online application for early event detection using the reduced dimensionality. First, the …

Autonomous voltage control for grid operation using deep reinforcement learning

R Diao, Z Wang, D Shi, Q Chang… - 2019 IEEE power & …, 2019 - ieeexplore.ieee.org
Modern power grids are experiencing grand challenges caused by the stochastic and
dynamic nature of growing renewable energy and demand response. Traditional theoretical …

Synchrophasor measurement technology in power systems: Panorama and state-of-the-art

F Aminifar, M Fotuhi-Firuzabad, A Safdarian… - IEEe …, 2014 - ieeexplore.ieee.org
Phasor measurement units (PMUs) are rapidly being deployed in electric power networks
across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and …

A hierarchical self-adaptive data-analytics method for real-time power system short-term voltage stability assessment

Y Zhang, Y Xu, ZY Dong… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As one of the most complex and largest dynamic industrial systems, a modern power grid
envisages the wide-area measurement protection and control (WAMPAC) system as the grid …

Robust online dynamic security assessment using adaptive ensemble decision-tree learning

M He, J Zhang, V Vittal - IEEE Transactions on Power systems, 2013 - ieeexplore.ieee.org
Online dynamic security assessment (DSA) is examined in a data-mining framework by
taking into account the operating condition (OC) variations and possible topology changes …

[BOK][B] The electric power engineering handbook-five volume set

LL Grigsby - 2018 - taylorfrancis.com
The Electric Power Engineering Handbook, Third Edition updates coverage of recent
developments and rapid technological growth in crucial aspects of power systems, including …

A systematic approach for dynamic security assessment and the corresponding preventive control scheme based on decision trees

C Liu, K Sun, ZH Rather, Z Chen… - … on Power Systems, 2013 - ieeexplore.ieee.org
This paper proposes a decision tree (DT)-based systematic approach for cooperative online
power system dynamic security assessment (DSA) and preventive control. This approach …