Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …

Today's power system grids are massively interconnected with newer technologies and
control devices integrated into the system all for enhanced efficiency and economic benefits …

Artificial intelligence technologies provide a new approach for the real-time transient stability
assessment (TSA) of large-scale power systems. In this paper, we propose a data-driven …

This paper proposes a machine learning-based method for predicting generator rotor angle
responses (trajectories) following large disturbance in power system. A Long Short-Term …

With the evolution of renewable energy sources, such as wind and photovoltaic generators
(PVGs), the present electric power systems will transform into systems, possessing various …

This paper presents a robust and adaptive out-of-step (OOS) protection algorithm, using
wide-area information, that can be applied on tie-lines in observable power systems. The …

This paper focuses on the assessment of the feasibility of application of two representative
Machine Learning Techniques (MLTs) for the regression task of predicting a Composite …

As power systems become more complex in order to accommodate distributed generation
and increased demand, determining the stability status of a system after a severe …

This paper presents an out-of-step protection algorithm based on angle derivatives, which
makes use of wide-area measurements and can be applied on arbitrary tie-lines in electrical …

This research investigates the impact of renewable energy integration on blinder-based Out-
Of-Step (OOS) relays, which protect synchronous generators from unstable power swings …