Power Quality Disturbances Recognition Based on Grammatical Inference

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new approach in detecting and identifying power quality disturbances is presented. The use of Formal Language Theory, already exploited in other fields, was used to develop an innovative tool to identify patterns in electrical signals. The Concordia transform is applied to the 3-phase electrical system, composing a 2-D signal. The obtained signal is computed with a “healthy” 3-phase composed signal, retrieving new data. A Formal Language based inference algorithm is used to infer a grammar from this new data. Each type of fault has its own grammar, which allows the developed algorithm to easily detect and identify the disturbances.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
Pages474-480
Volume349
DOIs
Publication statusPublished - 1 Jan 2011
EventTECHNOLOGICAL INNOVATION FOR SUSTAINABILITY -
Duration: 1 Jan 2011 → …

Conference

ConferenceTECHNOLOGICAL INNOVATION FOR SUSTAINABILITY
Period1/01/11 → …

Cite this

DEE Group Author, & Martins, J. F. A. (2011). Power Quality Disturbances Recognition Based on Grammatical Inference. In IFIP Advances in Information and Communication Technology (Vol. 349, pp. 474-480) https://doi.org/10.1007/978-3-642-19170-1_52