Taking the advantage of Internet of Things (IoT) enabled measurements, this paper
formulates the event detection problem as an information-plus-noise model, and detects …

The integration of high-resolution data from phasor measurement units (PMUs) in the power
grid operation provides an opportunity for enhanced situational awareness and possible …

Subsynchronous oscillations (SSOs) in renewable power systems have emerged as a major
challenge, jeopardizing the stability and safety of power system operations. Thus, it is …

Phasor Measurement Units (PMUs) are located at different geographic positions in the
transmission system, generating measurement data that can be analyzed to monitor and …

In this paper, using the data collected from phasor measurement units (PMUs), two methods
based on Fisher random matrix are proposed to detect faults in power grids. Firstly, the fault …

Deep learning technology is identified as a valid tool for transient stability assessment (TSA).
Moreover, the superior performance of TSA model depends on generous labeled samples …

The grid reinforcement, advanced grid stabilizing systems, and inverter-interfaced loads
have varied power system dynamics. The changing trends of various dynamic phenomena …

In view of the current situation that the new generation of smart grids with “double high”
characteristics is in urgent need of effective state evaluation methods due to the …

Cascading event detection is essential for situational awareness and the secure operation of
distribution networks. In this paper, based on high-dimensional factor models (HDFMs), an …