Classification of electrical disturbances in real time using neural networks

IEEE Transactions on Power Delivery

Volumn 22, Issue 3, 2007, Pages 1288-1296

  Monedero, Iñigo ^a   León, Carlos ^a   Ropero, Jorge ^a   García, Antonio ^a   Elena, José M ^a   Montaño, Juan C ^b  

^a UNIVERSITY OF SEVILLE   (Spain)

^b INSTITUTO DE RECURSOS NATURALES Y AGROBIOLOGÍA DE SEVILLA   (Spain)

Author keywords

Neural networks; Power quality (PQ); Wavelet transform

Indexed keywords

KNOWLEDGE ENGINEERING; NEURAL NETWORKS; POWER QUALITY; SIGNAL PROCESSING; WAVELET TRANSFORMS;

ACQUIRED SIGNALS; COMMERCIAL CUSTOMERS; ELECTRICAL DISTURBANCES; ELECTRICAL GRIDS; ELECTRICAL PATTERN GENERATORS; ENGINEERING KNOWLEDGES; ESSENTIAL SERVICES; FIELD TESTS; NEURAL SYSTEMS; REAL TIMES; SIGNAL ACQUISITIONS; SOFTWARE TOOLS; TEST PATTERNS; TRAINING TOOLS;

ELECTRIC GENERATORS;

EID: 49649091426     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2007.899522     Document Type: Article

References (12)

1. P. Daponte, M. di Penta, and G. Mercurio, "Transientmeter: A distributed measurement system for power quality monitoring," in Proc. 9th Int. Conf. Harmonics and Quality of Power, 2000, vol. 3, pp. 1017-1022.
2. W. E. Kazibwe and H. M. Sendaula, Expert Systems Targets. Power Quality Issues. New York: IEEE, Apr. 1992, 0895-0156/92.
3. W. R. Anis Ibrahim and M. M. Morcos, "Artificial intelligence and advanced mathematical tools for power quality applications: A survey," IEEE Trans. Power Del., vol. 17, no. 2, pp. 668-673, Apr. 2002.
4. G. Zheng, M. X. Shi, D. Liu, J. Yao, and Z. M. Mao, "Power quality disturbance classification based on rule-based and wavelet-multi-resolution decomposition," presented at the 1st Int. Conf. Machine Learning and Cybernetics, Beijing, China, Nov. 4-5, 2002.
5. A. Elmitwally, S. Farghal, M. Kandil, S. Abdelkader, and M. Elkateb, "Proposed wavelet-neurofuzzy combined system for power quality violations detection and diagnosis," Proc. Inst. Elect. Eng., Gen. Transm. Distrib., vol. 148, no. 1, pp. 15-20, Jan. 2001.
6. P. K. Dash, S. K. Panda, A. C. Liew, B. Mishra, and R. K. Jena, "New approach to monitoring electric power quality," Elect. Power Syst. Res., vol. 46, no. 1, pp. 11-20, 1998.
7. A. K. Ghosh and D. L. Lubkeman, "The classification of power system disturbance waveforms using a neural network approach," IEEE Trans. Power Del., vol. 10, no. 3, pp. 671-683, Jul. 1990.
8. J. V. Wijayakulasooriya, G. A. Putrus, and P. D. Minns, "Electric power quality disturbance classification using self-adapting artificial neural network," Proc. Inst. Elect. Eng., Gen. Transm. Distrib., vol. 149, no. 1, pp. 98-101, Jan. 2002.
9. R. Daniels, "Power quality monitoring using neural networks," in Proc. 1st Int. Forum Applications Neural Networks Power Syst., 1991, pp. 195-197.
10. S. Santoso, J. P. Edward, W. M. Grady, and A. C. Parsons, "Power quality disturbance waveform recognition using wavelet-based neural classifier - Part 1: Theoretical foundation," IEEE Trans. Power Del. vol. 15, no. 2, pp. 222-228, Feb. 2000.
11. S. Santoso, J. P. Edward, W. M. Grady, and A. C. Parsons, "Power quality disturbance waveform recognition using wavelet-based neural classifiers-Part 2: Application," IEEE Trans. Power Del., vol. 15, no. 1, pp. 229-235, Feb. 2000.
12. M. Mallini and B. Perunicic, "Neural network based power quality analysis using MATLAB," in Proc. Large Eng. Syst. Conf. Power Eng. Halifax, NS, Canada, 1998, pp. 177-183.