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 …

This paper summarizes the technical activities of the Task Force on Power System Dynamic
State and Parameter Estimation. This Task Force was established by the IEEE Working …

For over two decades Neural Network (NN) has been applied to power system monitoring
and control. Conventional controllers suffer from certain limitations which NN as an Artificial …

Availability of the synchronous machine angle and speed variables give us an accurate
picture of the overall condition of power networks leading therefore to an improved …

The most important reference quantities for monitoring and controlling transient stability in
real time are the rotor angle and speed of the synchronous generators. If these quantities …

In this paper the design of power system stabilizers for small-signal stability using phasor
measurements is considered. An approach based on optimal control with structural …

This paper develops a robust generalized maximum-likelihood Koopman operator-based
Kalman filter (GM-KKF) to estimate the rotor angle and speed of synchronous generators …

In this paper, an extended particle filter (PF) is proposed to estimate the dynamic states of a
synchronous machine using phasor measurement unit (PMU) data. A PF propagates the …

Online monitoring of rotor angle stability in wide area power systems is an important task to
avoid out-of-step instability conditions. In recent years, the installation of phasor …

Recent research has demonstrated that the rotor angle stability of a power system can be
assessed by identifying the sign of the system's maximal Lyapunov exponent (MLE). A …