Journal of Signal Processing and Wireless Technologies.

Volume1,June 2017,

Topic : Analysis of Signals Affecting the Quality of Power

Authors:Shilpa.R || Savitha Shetty K L., P. S. Puttaswamy

Abstract:Electricity is the most revolutionary development in the human history. Efficient transmission of electric power is of at most importance in the current scenario.power Quality is an important concern for utility as well as consumers. Power quality is one of the major concerns and emerging issues in the present era. “Power quality is a set of electrical boundaries that allows a piece of equipment to function in its intended manner without significant loss of performance or life expectancy”. With increasing quantities of non-linear loads being added to electrical systems, it has become necessary to investigate the power quality issues as all electrical devices are prone to failure when exposed to one or more power quality problems. The Hilbert transform is an important operator in signal processing, e.g., the definition of the “analytical signal” uses the Hilbert transform. All kinds of transient power quality events occur frequently, causing power equipment damage and even lead to large scale blackout. Hilbert Huang transform is better than traditional transform approaches. Features are extracted from the power electrical signals by using Hilbert Huang Transform (HHT). Hilbert-Huang transform, is developed by the need to analyze the non-linear and non-stationary data.It is expected to detect the characteristic features from the PQ disturbance signals, which are obtained using Multivariate Empirical Mode Decomposition [MEMD] method.

Keywords: Empirical Mode Decomposition, Multivariate Empirical Mode Decomposition ,matlab

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