Two main tasks of online dynamic security assessment (DSA) are real-time state monitoring
and postfault transient trajectory prediction. For the first task, the model-based methods are …

The simulation of power system dynamics poses a computationally expensive task.
Considering the growing uncertainty of generation and demand patterns, thousands of …

The dynamic behaviour of a power system can be described by a system of differential–
algebraic equations. Time-domain simulations are used to simulate the evolution of these …

Deep learning has significantly improved the state-of-the-art in computer vision and natural
language processing, and holds great potential to design effective tools for predicting and …

Predicting post-fault dynamic trajectories is important for corrective control to ensure stable
and secure power system operation. This paper proposes a new Bayesian post-fault power …

Achieving clean energy goals will require significant advances in regard to addressing the
computational needs for next-generation renewable-dominated power grids. One critical …

The ability to learn power system dynamic model and predict transient trajectories using
data is crucial to realizing closed-loop control of the system with artificial intelligence. This …

The idea behind mathematical modelling is the representation of observations in a form that
becomes useful for analysing, controlling, and predicting the underlying system. In the …

In this paper, we introduce a technique for detecting and classifying transients within an
electrical signal. Our approach uses the standard matched filter for transient detection and …

With decarbonization efforts in renewable integration and electrification, the electric grid
needs to adapt and serve a larger system that is becoming more distributed, having less …