Recognition of Power Quality Disturbances Using Hybrid Algorithm Based on Combined Features of Stockwell Transform and Hilbert Transform

Research activity under taken in this article is concentrated on detection and classification of single stage power quality (PQ) disturbances. This has been achieved with the help of combined features of Stockwell transform, Hilbert Transform and decision supported rules. Proposed algorithm can be implemented in online PQ monitoring equipments. Performance of algorithm is evaluated for detection and classification of different PQ disturbances which include sag in voltage, swell in voltagel, momentary interruption (MI), oscillatory transient (OT), impulsive transient (IT), notch, spike and harmonics. This is established that performance of algorithm is better compared to Stockwell transform and ruled decision tree supported algorithm. Study is carried out using MATLAB software.