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The Scientific World Journal
Volume 2014 (2014), Article ID 902167, 11 pages
Research Article

Multiple Chaos Synchronization System for Power Quality Classification in a Power System

1Department of Automation and Control Engineering, Far-East University, Hsin-Shih, Tainan 744, Taiwan
2Department of Electrical Engineering, Kao-Yuan University, Lu-Chu, Kaohsiung 821, Taiwan

Received 13 November 2013; Accepted 24 December 2013; Published 10 February 2014

Academic Editors: J. Montiel-Nelson and F. L. Tofoli

Copyright © 2014 Cong-Hui Huang and Chia-Hung Lin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This document proposes multiple chaos synchronization (CS) systems for power quality (PQ) disturbances classification in a power system. Chen-Lee based CS systems use multiple detectors to track the dynamic errors between the normal signal and the disturbance signal, including power harmonics, voltage fluctuation phenomena, and voltage interruptions. Multiple detectors are used to monitor the dynamic errors between the master system and the slave system and are used to construct the feature patterns from time-domain signals. The maximum likelihood method (MLM), as a classifier, performs a comparison of the patterns of the features in the database. The proposed method can adapt itself without the need for adjustment of parameters or iterative computation. For a sample power system, the test results showed accurate discrimination, good robustness, and faster processing time for the detection of PQ disturbances.