Detecting false data attacks using machine learning techniques in smart grid: A survey

L Cui, Y Qu, L Gao, G **e, S Yu - Journal of Network and Computer …, 2020 - Elsevier
The big data sources in smart grid (SG) enable utilities to monitor, control, and manage the
energy system effectively, which is also promising to advance the efficiency, reliability, and …

Research trends and applications of PMUs

G Paramo, A Bretas, S Meyn - Energies, 2022 - mdpi.com
This work is a survey of current trends in applications of PMUs. PMUs have the potential to
solve major problems in the areas of power system estimation, protection, and stability. A …

A survey of denial-of-service attacks and solutions in the smart grid

A Huseinović, S Mrdović, K Bicakci, S Uludag - IEEE Access, 2020 - ieeexplore.ieee.org
The scope, scale, and intensity of real, as well as potential attacks, on the Smart Grid have
been increasing and thus gaining more attention. An important component of Smart Grid …

A cyber-physical anomaly detection for wide-area protection using machine learning

VK Singh, M Govindarasu - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
Wide-area protection scheme (WAPS) provides system-wide protection by detecting and
mitigating small and large-scale disturbances that are difficult to resolve using local …

A real time event detection, classification and localization using synchrophasor data

S Pandey, AK Srivastava… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With an increasing number of extreme events, grid components and complexity, more
alarms are being observed in the power grid control centers. Operators in the control center …

Time series anomaly detection for smart grids: A survey

JE Zhang, D Wu, B Boulet - 2021 IEEE electrical power and …, 2021 - ieeexplore.ieee.org
With the rapid increase in the integration of renewable energy generation and the wide
adoption of various electric appliances, power grids are now faced with more and more …

Anomaly detection, localization and classification using drifting synchrophasor data streams

A Ahmed, KS Sajan, A Srivastava… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With ongoing automation and digitization of the electric power system, several Phasor
Measurement Units (PMUs) have been deployed for monitoring and control. PMU data can …

Detection and mitigation of data manipulation attacks in AC microgrids

A Mustafa, B Poudel, A Bidram… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a resilient control framework for distributed frequency and voltage
control of AC microgrids under data manipulation attacks. In order for each distributed …

Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services

R Xu, Y Cheng, Z Liu, Y **e, Y Yang - Future Generation Computer Systems, 2020 - Elsevier
The rapid rising of artificial intelligence (AI) and Internet of Things technologies leads to the
accumulation of abundant communication data without being processed on time, which …

Real-Time Synchrophasor Data Anomaly Detection and Classification Using Isolation Forest, KMeans, and LoOP

E Khaledian, S Pandey, P Kundu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Power grid operators assess situational awareness using time-tagged measurements from
phasor measurement units (PMUs) placed at multiple locations in a network. However …