The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …

Artificial intelligence (AI) has been increasingly used for power system stability assessment
due to its fast evaluation speed compared to conventional time-domain methods. This article …

Permanently increasing penetration of converter-interfaced generation and renewable
energy sources (RESs) makes modern electrical power systems more vulnerable to low …

The secure operation of the transmission grid is of primary importance for any power system
operator. However, the introduction of new technologies, market deregulation, and …

Converter-interface-based renewable energy incorporated into modern power systems
causes deterioration in power system stability and it is proving to be a main challenge for …

Microgrids (MGs) integrate various dynamic energy sources, often making it challenging for
traditional control techniques to manage these complexities. This study addresses key …

As the complexity of power systems increases, traditional model-driven methods for online
frequency stability prediction (FSP) encounter constraints in both accuracy and efficiency. To …

This work proposes a real-time deep learning-based model for predicting the small-signal
stability of an electrical network. The trained models equip power system operators with an …

As one of the largest and most complex artificial systems in the world, power systems
present challenges for statistical analysis under multi-fault contingencies that alter the …

The massive integration of clean energy and renewable energy source (RES) is one of the
most important trends in the low carbon energy transition toward carbon neutrality. Such an …