The full text of this article/chapter:

Software Concept for Power Quality Study
by Boris Bizjak, Peter Planinšiè
12th International Workshop on Systems, Signals and Image Processing (IWSSIP), Vol. 1, No. 1, 2005
Abstract: 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. The objective of this paper is to present a technique based on fuzzy logic to categorize power quality events. The use of OLE for Process Control (OPC) opens up the exchange of data across multiple historians. Inherent features are extracted from recorded waveforms using Fourier and wavelet analyses and fed into a fuzzy expert system. The categorization technique has been implemented using the Fourier, Wavelet and Fuzzy Logic Toolboxes in Matlab. We view XML as a roadmap to the future, which is why we use XML WEB portal platform. It makes heavy use of XML as the fundamental communications system between different software objects.

is only available to individual subscribers or to users at subscribing institutions.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is US$38.00

Members of the Editorial Board or subscribers of the 12th International Workshop on Systems, Signals and Image Processing (IWSSIP), that have been redirected here, please click here if you have IP-authentication access, or check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

    Username:        Password:         Forgotten your Password?