| Abstract |
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. |
