This paper presents the maiden application of a variant of Kalman Filter algorithm known as
Local Ensemble Transform based Kalman Filter (LET-KF) for power system harmonic …

In this paper a new estimation approach combining both Recursive Least Square (RLS) and
Bacterial Foraging Optimization (BFO) is developed for accurate estimation of harmonics in …

This paper investigates the problem of how to quantify the harmonic impact of several known
harmonic‐producing loads on a particular location of a power network. A multiple linear …

This paper provides a novel algorithm for identifying harmonic sources in power distribution
systems. This algorithm is developed based on an observer design to carry out harmonic …

The paper presents a new approach for the estimation of the fundamental phasor and
frequency of time varying power system signals encountered in power system control and …

The use of nonlinear loads has increased in power systems consequently the harmonic
currents have also increased causing detrimental effects to the supply system and user …

This paper presents the estimation of frequency which is an important power system
parameter by Extended Least Square (ELS) technique. The above technique is validated by …

Identification of harmonic sources contributing to harmonic distortion, and characterization of
harmonic current injected by them, are crucial tasks in harmonic analysis of modern power …

The maiden application of a variant of Kalman Filter (KF) algorithms known as Local
Ensemble Transform Kalman Filter (LET-KF) are used for mitigation and estimation power …

The world has emerged as an era of electronics in recent ages with functioning systems
being quite dependable on electronics and machinery. The emerging usage of electronic …