Teager Energy Operator: A Signal Processing Approach for Detection and Classification of Power Quality Events

In electrical power system power quality (PQ) disturbances are frequent; to detect these disturbances and classify them is must, so that mitigation action is carried out accordingly. This paper presents a signal processing based approach for detection and classification of PQ events, where Teager Energy Operator (TEO) is used to detect the event and statistical parameter are used to classify them. The TEO is applied on most of PQ problems such as voltage sag, swell, transients and interruptions. By applying TEO to transient PQ events, the detection flag is obtained at start and end of the event. The length of the detection flag depends on the selection of average value for setting the threshold. The standard deviation is determined for the starting duration of detection flag for every event. After setting the threshold, the events can be classified. This method is simple, faster and easy to implement.