Electric power grid resilience to cyber adversaries: State of the art
The smart electricity grids have been evolving to a more complex cyber-physical ecosystem
of infrastructures with integrated communication networks, new carbon-free sources of …
of infrastructures with integrated communication networks, new carbon-free sources of …
Islanding detection techniques for grid-connected photovoltaic systems-A review
Photovoltaic (PV) systems are increasingly assuming a significant share in the power
generation capacity in many countries, and their massive integration with existing power …
generation capacity in many countries, and their massive integration with existing power …
On the use of artificial intelligence for high impedance fault detection and electrical safety
Accidents caused by faults on overhead power lines have been more frequently reported
under extreme weather conditions and may strongly threaten the safety and stability of the …
under extreme weather conditions and may strongly threaten the safety and stability of the …
Seismic-resilient electric power distribution systems: Harnessing the mobility of power sources
Z Yang, P Dehghanian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile power sources (MPSs), including mobile emergency generators, truck-mounted
mobile energy storage systems, and electric vehicles, have great potentials to be employed …
mobile energy storage systems, and electric vehicles, have great potentials to be employed …
Fault diagnosis for power cables based on convolutional neural network with chaotic system and discrete wavelet transform
In this paper, the discrete wavelet transform (DWT) and a chaotic system were combined
with a convolutional neural network (CNN) and applied to the diagnosis of insulation faults …
with a convolutional neural network (CNN) and applied to the diagnosis of insulation faults …
Hierarchical convolutional neural networks for event classification on PMU measurements
Event classification is one of the central components of automated disturbance analysis
based on phasor measurement unit (PMU) measurements. Obtaining high-quality event …
based on phasor measurement unit (PMU) measurements. Obtaining high-quality event …
A machine learning approach to detection of geomagnetically induced currents in power grids
Geomagnetically induced currents (GICs) in power grids are mainly caused by geomagnetic
disturbances especially during solar storms. Such currents can potentially cause negative …
disturbances especially during solar storms. Such currents can potentially cause negative …
Power system event classification and localization using a convolutional neural network
H Ren, ZJ Hou, B Vyakaranam, H Wang… - Frontiers in Energy …, 2020 - frontiersin.org
Detection and timely identification of power system disturbances are essential for situation
awareness and reliable electricity grid operation. Because records of actual events in the …
awareness and reliable electricity grid operation. Because records of actual events in the …
A novel event detection and classification scheme using wide-area frequency measurements
Automated event detection and classification are vital to power system monitoring. This
article proposes a novel event detection and classification scheme based on wide area …
article proposes a novel event detection and classification scheme based on wide area …
Short-term wind power prediction based on wavelet feature arrangement and convolutional neural networks deep learning
X Peng, Y Li, L Dong, K Cheng, H Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Wind power prediction (WPP) has an important impact on the security and reliability
operation of power grid after a large amount of wind power integration into the system. There …
operation of power grid after a large amount of wind power integration into the system. There …