LabVIEW implementation of tracking filters for voltage dip detection

Due of its significant economical impact, Power-Quality (PQ) analysis is an important domain today. Severe voltage distortions affect the consumers and disturb their activity. They may be caused by short circuits (in this case the voltage drops significantly) or by varying loads (with a smaller drop). These two types are the PQ currently issues. Monitoring these phenomena (called dips or sags) require powerful techniques. Digital Signal Processing (DSP) algorithms are currently employed to fulfill this task. Discrete Wavelet Transforms, (and variants), Kalman filters, and S-Transform are currently proposed by researchers to detect voltage dips. This paper presents a Lab VIEW implementation of the α-β-γ tracking filter. Discovered and tested during the cold-war era, these algorithms can estimate one-step-ahead a parameter of interest based of previously recorded values. This algorithm was tested using real data representing the 110kV power line. The obtained results are also presented.