Research of the power quality disturbance detection method based on forecasting mechanism

Through researching and comparing the existing various disturbance monitor algorithms, one kind of time domain power quality disturbance detection methods based on the linear prediction mechanism is proposed. The electrical network signals go through the error predictive filter obtained by the linear prediction mechanism, and the prediction waveform will has the sudden change in the terminal time and the perturbation when the power quality disturbances occur, which makes the proposed detection algorithm timely detect the start time and duration of disturbance signal. Simulation and experimental results show that the proposed method can accurately detect transient disturbance signals such as voltage swell, voltage sag and other changes which are relatively slow and have relatively long duration, and it can also monitor the extremely short time transient disturbance signals such as voltage plummets.