Nowadays, the power grid has become an active colossal resource generation and
management system due to the wide use of renewable energy and dynamic workloads …

Transient stability assessment (TSA) has always been a fundamental means for ensuring
the secure and stable operation of power systems. Due to the integration of new elements …

Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation,
delivery and use. To ensure stable and secure operation is essential for the smart grid …

Data driven method based on big data and deep model is an effective tool to solve the
problem of online power system transient stability assessment. Nevertheless, when the …

When severe disturbance occurs in power system, lack of efficacious information about
transient stability state is a key challenge for power network operator. Especially for the …

Fast and reliable transient stability assessment (TSA) is significant for safe and stable power
system operation. Deep learning provides a new tool for TSA. However, it is difficult to apply …

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 …

Deep learning (DL) techniques have shown promising performance for designing data-
driven power system transient stability assessment (TSA) models. However, due to the deep …

This paper presents a deep learning approach with cost-sensitive loss function for transient
stability assessment (TSA). Firstly, multiple generator variables after disturbance are utilized …

In this paper, an online power system transient stability assessment (TSA) problem is
mapped as a two-class classification problem and a novel data mining algorithm the core …