Power Harmonic Estimation by Using Recursive Filtering Algorithm
Abhinav V. Deshpande *
School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu (T.N.), 632014, India.
*Author to whom correspondence should be addressed.
Abstract
This research paper presents an optimal method for tracking the harmonics in the power system voltage or current waveforms. A robust recursive filtering algorithm that is, the Kalman filter is used to estimate the harmonics of a distorted measurement signal. The Kalman filter performance depends on the noise covariance matrices Q and R. In this research paper, the process of tuning of these matrices is discussed. The Kalman filter’s response time is investigated for a sudden variation in the magnitude and the phase of one of the harmonics which are present in the signal.
Keywords: Kalman filter, harmonic signal estimation, adaptive filtering, noise covariance matrix