Implementation of Kalman filtering algorithm for Harmonic Load Impedance modelling of Electrical loads with Experimental Verification

Abstract

The Power system disturbances like harmonics creates lot of power quality problems need to be analyzed with suitable analysis techniques. A simple technique has been presented in this paper for impedance load modelling of electric domestic loads like Geyser water heater system and Air conditioning System (AC). In this paper, the application of Kalman filtering algorithm is used for harmonic estimation and nonlinear load impedance modelling for validation of the algorithm. The Kalman filtering algorithm is used for harmonic estimation to the distorted current and voltage signals and also it will calculate the admittance or impedance for load impedance modelling to know the behavior of the system in presence of harmonics. The signal analysis methods like Fast Fourier transform (FFT), STFT, Wavelet transform and S-transform techniques are used to analyze the harmonics by using entire signal, but the proposed technique uses directly by taking one cycle samples of the voltage and current waveforms. It has been proved, that the proposed algorithm is verified with the PSCAD/EMTDC models as well as experimental results.