Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …

Modeling the resilience of critical infrastructures (CIs) is broadly viewed as critical to
maintaining the normal condition of CIs as a result of frequent threats that can disrupt safety …

Physics-informed machine learning (PIML) is a set of methods and tools that systematically
integrate machine learning (ML) algorithms with physical constraints and abstract …

Microgrids (MGs) have emerged throughout the world as the major means of integrating a
variety of distributed energy resource (DER) technologies into the distribution system. These …

Reliable and fast emergency control technologies are essential to guarantee the transient
stability of power systems. In recent years, deep reinforcement learning (DRL) has been …

Fault-induced delayed voltage recovery (FIDVR) phenomenon refers to delayed voltage
recovery after the occurrence of a fault on the transmission level, caused by the presence of …

The fault‐induced delayed voltage recovery (FIDVR) and short‐term voltage instability
(STVI) phenomena appear in networks with high penetration of induction motor loads …

To mitigate global climate change and ensure a sustainable energy future, China has
launched a new energy policy of achieving carbon peaking by 2030 and carbon neutrality …

This paper has delved into the pressing need for intelligent emergency control in large-scale
power systems, which are experiencing significant transformations and are operating closer …

Aiming at timely and adaptive remedial control for the fault-induced voltage recovery
(FIDVR) events in power systems, this paper develops a probabilistic data-driven method for …