Paper Details

The accurate measurement of harmonics level is essential for designing harmonic filters, monitoring thestress to which the power system devices are subjected due to harmonics and specifying digital filtering techniques forphase measurements for relaying. This paper presents an integrated approach to design harmonic estimator of a PWMconverter in the presence of harmonic parameters variation with low signal-to noise ratio. This has led to study theExtended Kalman filter characteristics and estimation technique to design the optimal filter. We have employed theExtended Kalman filter algorithm to estimate magnitudes and frequencies of harmonic components presents in non -sinusoidal voltage and current of three phase PWM converter with presence of random noise in power system anddistortions again taking into account the measurement noise and compare with inbuilt function ‘FFT analysis’ in Matlab. Parameters will be estimated up to the mth significant harmonic component. It also gives an approach for the case ofless than mth significant harmonic components. Extended Kalman filter being an optimal estimator which accuratelyestimates the magnitudes and frequencies of harmonic components presents in non -linear voltage and current of PWMconverter.

Desai Vidit Anilbhai, “MAGNITUDE AND FREQUENCY ESTIMATION USING EXTENDED KALMAN FILTER”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 309-318, May 2015.