Fast non-recursive extraction of individual harmonics using artificial neural networks

Janaka V. Wijayakulasooriya, Ghanim Putrus, Chong Ng

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
2 Downloads (Pure)

Abstract

A collaborative work between Northumbria University and University of Peradeniya (Sri Lanka). It presents a novel technique based on Artificial Neural Networks for fast extraction of individual harmonic components. The technique was tested on a real-time hardware platform and results obtained showed that it is significantly faster and less computationally complex than other techniques. The paper complements other publications by the author (see paper 1) on the important area of “Power Quality” of electric power networks. It involves the application of advanced techniques in artificial intelligence to solve power systems problems.
Original languageEnglish
Pages (from-to)539
JournalIEE Proceedings: Generation, Transmission and Distribution
Volume152
Issue number4
DOIs
Publication statusPublished - Jul 2005

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