Abstract Frequency Disturbance Events (FDEs) occur due to various events such as
Generator Trip (GT), Line Outage (LO), and Load Disconnection (LD), which affect the …

In the parameter identification of power transmission system, deep learning methods stand
out because of its effectiveness and robustness. However, deep learning methods usually …

This paper provides a survey of measurable factors affecting the adoption of cybersecurity
enhancement strategies in the smart grid. From power systems operators' point of view, it is …

This paper investigates the problem of automatic detection of cyber-attacks in cyber-physical
systems (CPSs), where some of the state variables are corrupted by an attacker. An attack …

In the realm of power systems, load redistribution attacks (LRAs) involve the manipulation of
measurements by attackers, leading operators to make decisions based on falsified …

Renewable energies are extensively utilized in smart grids. Due to the widespread use of
information and communication technologies in such networks, their security has become a …

With the large scale and high proportion of distributed generation connected to the power
grid, the distributed economic dispatch system has attracted more attention because of its …

During the measurement and transmission in power systems, the noise will interfere the data
to varying degrees, and the accuracy of transient stability assessment (TSA) may be …

This work proposes an approach based on critical dynamic modes to detect four types of
phasor measurement unit (PMU) data anomalies in smart power grids. Smart power grids as …

Smart grid cyber-security has come to the forefront of national security priorities due to the
emergence of new cyber threats such as the False Data Injection (FDI) attack. This specific …