Communication infrastructure (CI) in microgrids (MGs) allows for the application of different
control architectures for the secondary control (SC) layer. The use of new SC architectures …

This article reviews recent works applying machine learning (ML) techniques in the context
of energy systems' reliability assessment and control. We showcase both the progress …

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber
attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one …

Abstract Explainable Artificial Intelligence (XAI), ie, the development of more transparent and
interpretable AI models, has gained increased traction over the last few years. This is due to …

The dependence on advanced information and communication technology increases the
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …

With the rapid development of communication, control, and computer technology, traditional
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …

Contemporary power grids are being challenged by rapid and sizeable voltage fluctuations
that are caused by large-scale deployment of renewable generators, electric vehicles, and …

State estimation is widely used in various automated systems, including IoT systems,
unmanned systems, robots, etc. In traditional state estimation, measurement data are …

Electrical grids generate, transport, distribute and deliver electrical power to consumers
through a complex Critical Infrastructure which progressively shifted from an air-gaped to a …

The proliferation of residential technologies such as photovoltaic (PV) systems and electric
vehicles can cause voltage issues in low voltage (LV) networks. During operation, voltage …