Survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies

A Sundararajan, T Khan, A Moghadasi… - Journal of Modern …, 2019 - ieeexplore.ieee.org
Synchrophasor devices guarantee situation awareness for real-time monitoring and
operational visibility of smart grid. With their widespread implementation, significant …

False data injection attacks against smart gird state estimation: Construction, detection and defense

M Zhang, C Shen, N He, SC Han, Q Li, Q Wang… - Science China …, 2019 - Springer
As a typical representative of the so-called cyber-physical system, smart grid reveals its high
efficiency, robustness and reliability compared with conventional power grid. However, due …

Grid-graph signal processing (grid-GSP): A graph signal processing framework for the power grid

R Ramakrishna, A Scaglione - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
The underlying theme of this paper is to explore the various facets of power systems data
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …

Data security of machine learning applied in low-carbon smart grid: A formal model for the physics-constrained robustness

Z Zhang, Z Yang, DKY Yau, Y Tian, J Ma - Applied Energy, 2023 - Elsevier
Towards the low-carbon goal, a smart grid features remote connection, data sharing, and
cyber–physical integration to increase the flexibility of energy supplies, to reduce electricity …

False data injection attack and defense method on load frequency control

Y Li, R Huang, L Ma - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The load frequency control (LFC) system is an essential component of the smart grid and is
located between cyberspace information and the physical infrastructure. Because the …

Cybersecurity analysis of data-driven power system stability assessment

Z Zhang, K Zuo, R Deng, F Teng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Machine learning-based intelligent systems enhanced with Internet of Things (IoT)
technologies have been widely developed and exploited to enable the real-time stability …

Physics-constrained vulnerability assessment of deep reinforcement learning-based SCOPF

L Zeng, M Sun, X Wan, Z Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The decarbonization of energy systems has posed unprecedented challenges in system
complexity and operational uncertainty that render it imperative to exploit cutting-edge …

Detection of false data injection attack using graph signal processing for the power grid

R Ramakrishna, A Scaglione - 2019 IEEE Global Conference …, 2019 - ieeexplore.ieee.org
In this paper we revisit the problem of False Data Injection (FDI) attacks to electric power
systems synchrophasors measurements through the lens of graph signal processing (GSP) …

[HTML][HTML] Review of cyber-physical attacks in smart grids: a system-theoretic perspective

F Liberati, E Garone, A Di Giorgio - Electronics, 2021 - mdpi.com
This paper presents a review of technical works in the field of cyber-physical attacks on the
smart grid. The paper starts by discussing two reference mathematical frameworks proposed …

Cyber-attacks related to intelligent electronic devices and their countermeasures: A review

J Wang, D Shi - 2018 53rd International Universities Power …, 2018 - ieeexplore.ieee.org
Intelligent electronic devices (IEDs) are deployed in power systems to facilitate advanced
automation for controlling critical equipment. Once an IED is compromised, attackers can …