One of the most important issues in modal estimation of power systems using PMUs data is
the negative effect of outliers. Hence, in addition to the techniques of analyzing PMUs data …

This paper discusses the estimation of uncertainty intervals associated with the
electromechanical modes identified from ambient data resulting from random load switching …

The study of low-frequency electromechanical modes in power systems has experienced
much progress in the past few years. In this research, a nonstationary recursive least …

The estimation of oscillation modes is important to the monitoring and damping of low
frequency oscillation in power system. Ambient data caused by low level stochastic …

Previous adaptive filtering algorithms using the least mean square (LMS) technique for
estimating electromechanical modes in power systems imposed constraints arising from the …

In this paper, the adaptive filtering based on LMS algorithm is applied to the recognition of
low-frequency oscillation mode. The step factor is improved based on Sinh function to …

In this paper possible improvements in the performance of adaptive noise cancellation are
reported. A new variable step size Least Mean Square (LMS) algorithm is proposed, which …