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Classification of Power Quality Events Using Optimal Time-Frequency Representations--Part 2: Application.
- Source :
-
IEEE Transactions on Power Delivery . Jul2004, Vol. 19 Issue 3, p1496-1503. 8p. - Publication Year :
- 2004
-
Abstract
- Classification of power-quality (PQ)-related voltage and current waveform disturbances is a key task for power system monitoring. A new method based on the optimized time-frequency representation (TFR) has been proposed in the first paper [1] of this two-paper series. This paper (the second paper) presents a case study of PQ event classification with the proposed method. The classification algorithm has been successfully tested with $60 real world PQ events that cover five classes, achieving a recognition rate of 98%. The algorithm is implemented on a digital signal processor (DSP) based hardware system and optimized according to the DSP architecture to meet the hard real-time constraints. The DSP-based system is capable of processing a five-cycle (83.3 ms) PQ waveform within 11.2 ms. The real-time computing capability of the algorithm has been verified with this result. The scalability of this method is also discussed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08858977
- Volume :
- 19
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Power Delivery
- Publication Type :
- Academic Journal
- Accession number :
- 13885159
- Full Text :
- https://doi.org/10.1109/TPWRD.2004.829869