ESTIMATING INSTANTANEOUS VOLTAGE FLICKER USING KALMAN FILTER AND FUZZY LOGIC TUNING NOISE LEVELS

摘要

This paper presents a novel technique for tracking voltage flicker occurring in electric power systems. Voltage flicker tracking is essential for electric power quality analysis. The instantaneous voltage flicker magnitude, frequency and phase are estimated using Kalman filtering technique. This approach is based on expressing voltage flicker as a discrete time linear dynamic system model using flicker parameters as the system parameters. An extended state space model is adapted for the Kalman filter to estimate the parameters. Fuzzy rule-based logic is used to tune-up the system-noise and measurement-noise levels by adjusting their covariance matrices using flicker measurements.