Voltage Dip Detection in Noisy Environments Using Tracking Filters

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Due of its significant economical impact, voltage dip analysis is an important domain today. Monitoring these phenomena (also called sags) require powerful techniques. Digital Signal Processing (DSP) algorithms are currently employed to fulfill this task. One of the possible algorithms is the αβγ filter. Discovered and tested during the cold war, this algorithm can estimate a parameter of interest one-step-ahead based on the previously observed values. In previous work, this filter revealed very good performance in the absence of noise. However, noise is present in every technical environment. This paper examines the dip detection performance using the above mentioned tracking filter in a noisy environment.

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Edited by:

Aurel Vlaicu and Stelian Brad

Pages:

139-146

Citation:

F. Molnar-Matei, "Voltage Dip Detection in Noisy Environments Using Tracking Filters", Advanced Engineering Forum, Vols. 8-9, pp. 139-146, 2013

Online since:

June 2013

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