Boosting the complexity of the electricity network, penetration of renewable resources, and
modernization of power systems has resulted in an increase in the complexity of the power …

Transient stability is a prominent aspect of power system stability and therefore instability
prediction has been the subject of a vast amount of research and many publications. In the …

With the continuous expansion of the power system scale and extensive application of
phasor measurement units (PMUs), the secure operation of power systems has been …

The real-time transient stability assessment (TSA) and emergency control are effective
measures to suppress accident expansion, prevent system instability, and avoid large-scale …

This article focuses on a new outlier-resistant nonfragile control issue for a class of Takagi–
Sugeno fuzzy delayed neural networks with reaction–diffusion terms. Compared with the …

Stable and safe operation of power grids is an important guarantee for economy
development. Support Vector Machine (SVM) based stability analysis method is a significant …

In this paper, a two-stage Bayesian learning-based approach is proposed to enable online
dynamic security assessment (DSA) and preventive control in power systems. To develop a …

Real-time transient stability assessment (TSA) of power systems is an important real world
problem in electrical energy engineering and pattern recognition scope. The definition of …

The increasing trend of decarbonization, particularly high penetration of wind power
generation (WPG), has resulted in an increased operational uncertainty of the power system …

While many machine learning approaches have been widely applied to power system
online dynamic stability assessment, how to sufficiently learn spatial-temporal correlations …