Deep learning methods can not only detect false data injection attacks (FDIA) but also locate
attacks of FDIA. Although adversarial false data injection attacks (AFDIA) based on deep …

In this paper, a distributed detection and isolation scheme against False Data Injection
attacks FDIAs in smart grids is studied. Taking the stealthy characteristics of FDIAs into …

Voltage stability assessment is essential for maintaining reliable power grid operations.
Stability assessment approaches using deep learning address the shortfalls of the traditional …

The cybersecurity of the distributed AC optimal power flow (ACOPF) against false data
injection attacks (FDIA) is investigated in this paper. A collaborative distributed ACOPF …

This review explores the application of intelligent optimization algorithms to Multi-Objective
Optimal Power Flow (MOPF) in enhancing modern power systems. It delves into the …

The transformation of the conventional power grid into a smart grid has revolutionised the
power industry. However, this has also made the power grid vulnerable to various …

Contingency Analysis (CA) is a core component of the Energy Management System (EMS)
in the power grid. The goal of CA is to operate the power system in a secure manner by …

Identify individual False Data Injection (FDI) attacks in different intelligent networks. FDI
attacks can circumvent conventional means of identifying corrupt data and interfere with the …

Contingency Analysis (CA) is a critical part of the Energy Management System of a power
grid, ensuring the optimal operating set-points without violating constraints, even in the face …

Whether the communication protocol is safe or not is related to the stable and reliable
operation of the industrial system. As a typical application layer protocol in the industrial …