Paper Info
Title
Labview Implementation Of Tracking Filters For Voltage Dip Detection
Abstract
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 LabVIEW implementation of the alpha-beta-gamma 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.
Year
DOI
Venue
2013
10.1109/EUROCON.2013.6625089
2013 IEEE EUROCON
Keywords
Field
DocType
Power Quality, Voltage Dips, Digital Signal Processing, Tracking Filters, LabVIEW
Digital signal processing,Computer science,Voltage,Virtual instrumentation,Voltage drop,Control engineering,Kalman filter,Electronic engineering,Estimation theory,Wavelet transform
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Florin Molnar-Matei112.17
Ciprian Sorandaru211.79