Detection of power quality disturbances using an adaptive process noise covariance Kalman filter

- This paper proposes an adaptive process noise covariance Kalman filter (APNCKF) for detecting the power quality disturbances.
- Remarkable singularities the estimated variable qk can be used for determining the start time and the end time of disturbances.
- Experimental results demonstrate that the proposed algorithm can exactly determine the start time and the end time of disturbances.