Classification of Power Disturbances using Fuzzy Logic

With an increasing usage of sensitive electronic equipment power quality has become a major concern now. It has been estimated that after 2006 static power converters will be process 65% of the total electric power. Impulse and sags going to be risk for electronic equipment. Power electronic loads resulting from the solid-state equipment are constantly increasing in distribution systems. The non-linear nature of switching devices give rise to harmonic current flows in power transmission lines, thus causing considerable losses and voltage distortion, electronic equipment failure, and inefficient use of electric energy. One critical aspect of power quality studies is the ability to perform automatic power quality data analysis and categorization. Inherent features are extracted from recorded waveforms using Fourier and wavelet analyses and fed into a fuzzy expert system. In this work we present a technique based on fuzzy logic to categorize power quality events. The use of OPC (Object Linking and Embedding for Process Control) opens up the exchange of data across multiple historians. The categorization technique has been implemented using the Fourier, Wavelet, Fuzzy Logic Toolboxes in Matlab. We view XML as a roadmap to the future, which is why we use XML data format for communicating with other systems at WEB level.