Transient stability of power systems is becoming increasingly important because the growing integration renewable resources. These resources lead to a reduction in mechanical inertia but also provide increased flexibility frequency responses. Namely, their electronic interfaces can implement almost arbitrary control laws. To design these controllers, reinforcement learning (RL) has emerged as p...

The high penetration of renewable energy sources, coupled with decommissioning conventional power plants, leads to the reduction system inertia. This has negative repercussions on transient stability systems. purpose this paper is review state-of-the-art regarding application artificial intelligence assessment, a focus different machine, deep, and reinforcement learning techniques. covers data ...

A transient stability control system for the electric power system composed of a prediction method and a control method is proposed based on trajectory information. This system, which is independent of system parameters and models, can detect the transient stability of the electric power system quickly and provide the control law when the system is unstable. Firstly, system instability is detec...

Stability is an important constraint in power system operation; the transient stability constrained optimal power flow (TSCOPF) has a considerable attention in recent years. The solution obtained from the conventional optimal power flow (OPF), which considers only the static constraints, does not guarantee transient stability in the system against possible contingencies such as line fault. In t...

The Photovoltaic (PV) plants are significantly different from the conventional synchronous generators in terms of physical and electrical characteristics, as it connects to the power grid through the voltage-source converters. High penetration PV in power system will bring several critical challenges to the safe operation of power grid including transient stability. To address this problem, the...