Abstract
This paper describes a virtual instrument for PQ assessment. Conceived to detect transients, sags and swells, the computational nucleus is based in higher-order statistics, which enhance the statistical characterization of the raw data, with the consequent improvement of the instrument’s performance. This measurement application is thought to be used by the plant operator previously trained in PQ analysis. The normal operation limit is previously established on empirical expert knowledge. The instrument also allows online visualization of the statistical parameters (variance, skewness and kurtosis). The repeatability is 85% roughly. Results convey the idea of an easy transferable technology, due to its low cost and optimized computational nucleus.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mõlder, H., Vinnal, T., Beldjajev, V.: Harmonic Losses in Induction Motors Caused by Voltage Waveform Distortions. In: IEEE Electric Power Quality and Supply Reliability Conference (PQ), Kuressaare, Estonia, June 16-18, pp. 143–150 (2010)
Elmoudi, A., Lehtonen, M., Nordman, H.: Effect of harmonics on transformers loss of life. In: IEEE Electrical Insulation Conference Record of the 2006, Toronto, Ont., June 11-14, pp. 408–411 (2006)
Inan, A., Attar, F.: The life expectancy analysis for an electric motor due to harmonic’s. In: 9th Mediterranean IEEE Electrotechnical Conference, MELECON 1998, Tel-Aviv, May 18-20, pp. 997–999 (1998)
Caramia, P., Carpinelli, G., Verde, P., Mazzanti, G., Cavallini, A., Montanari, G.C.: An approach to Life Estimation of Electrical Plant Components in the Presence of Harmonic Distortion. In: Proceedings of IEEE Ninth International Conference on Harmonics and Quality of Power, Orlando, FL, October 1-4, vol. 3, pp. 887–892 (2000)
de San Martín, J.A.Z.: Detección automática de perturbaciones en la calidad de la energía eléctrica y clasificación basada en inteligencia artificial. CURSO PEDECIBA Redes Neuronales y Memorias Distribuidas, Fac. Ciencias (2007)
Radil, T., Ramos, P.M., Janeiro, F.M., Serra, A.C.: PQ Monitoring System for Real-Time Detection and Classification of Disturbances in a Single-Phase Power System. In: IEEE Transactions on Instrumentation and Measurement, Braunschweig, Germany, pp. 1725–1733 (2008)
Wang, Z.-G., Shi, H.-S., Wang, S.: A New Harmonic Analyzer based on Wavelet and Virtual Instrument. In: IEEE International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009, Hangzhou, Zhejiang, Augusut 26-27, pp. 253–255 (2009)
de la Rosa, J.J.G., Moreno Muñoz, A., Gallego, A., Piotrkowski, R., Castro, E.: Higher-order characterization of power quality transients and their classification using competitive layers. Measurement 42(3), 478–484 (2009)
de la Rosa, J.J.G., Moreno Muñoz, A.: Higher-order cumulants and spectral kurtosis for early detection of subterranean termites. Mechanical Systems and Signal Processing 22(2), 279–294 (2008)
Nikias, C.L., Petropulu, A.P.: Higher-Order Spectra Analysis. A Non-Linear Signal Processing Framework. Prentice-Hall, Englewood Cliffs (1993)
Nikias, C.L., Mendel, J.M.: Signal processing with higher-order spectra. IEEE Signal Processing Magazine, 10–37 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Sierra-Fernández, J.M., González de la Rosa, J.J., Palomares-Salas, J.C., Agüera-Pérez, A., Ayora-Sedeño, D., Moreno-Muñoz, A. (2012). HOS-Based Virtual Instrument for Power Quality Assessment. In: Liñán Reyes, M., Flores Arias, J.M., González de la Rosa, J.J., Langer, J., Bellido Outeiriño, F.J., Moreno-Munñoz, A. (eds) IT Revolutions. IT Revolutions 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 82. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32304-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-32304-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32303-4
Online ISBN: 978-3-642-32304-1
eBook Packages: Computer ScienceComputer Science (R0)