Commenced in January 2007
Paper Count: 31442
Empirical Mode Decomposition with Wavelet Transform Based Analytic Signal for Power Quality Assessment
Abstract:This paper proposes empirical mode decomposition (EMD) together with wavelet transform (WT) based analytic signal for power quality (PQ) events assessment. EMD decomposes the complex signals into several intrinsic mode functions (IMF). As the PQ events are non stationary, instantaneous parameters have been calculated from these IMFs using analytic signal obtained form WT. We obtained three parameters from IMFs and then used KNN classifier for classification of PQ disturbance. We compared the classification of proposed method for PQ events by obtaining the features using Hilbert transform (HT) method. The classification efficiency using WT based analytic method is 97.5% and using HT based analytic signal is 95.5%.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316708Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 561
 R. A. Flores, ”State of the art in the classification of power quality events, an overview. In Harmonics and Quality of Power, 2002. 10th International Conference on (vol. 1, pp. 17-20) IEEE, 2002.
 M. V. Chilukuri and P. K. Dash, ”Multiresolution S-transform-based fuzzy recognition system for power quality events”, IEEE Transactions on Power Delivery, vol. 19, no. 1, pp. 323-330, 2004.
 A. M. Gargoom, N. Ertugrul and W. L. Soong, ”Investigation of effective automatic recognition systems of power-quality events”, IEEE Transactions on Power Delivery, vol. 22, no. 4, pp. 2319-2326, 2007.
 S. Mishra, C. N. Bhende and B. K. Panigrahi, ”Detection and classification of power quality disturbances using S-transform and probabilistic neural network”, IEEE transactions on power delivery, vol. 23, no. 1, pp. 280-287, 2008.
 J. H. Han, G. Jan and C. H. Park, ”Probabilistic risk assessment for an optimal selection of voltage sag mitigation devices using stochastic estimation of voltage sags”, In Advanced Power System Automation and Protection (APAP), 2011 International Conference on (vol. 3, pp. 1943-1946). IEEE. 2011.
 M. Manjula and A. V. R. S. Sarma, ”Comparison of empirical mode decomposition and wavelet based classification of power quality events”, Energy Procedia, 14, pp.1156-1162, 2012.
 C. Aneesh, S. Kumar, P. M. Hisham and K. P. Soman, ”Performance comparison of variational mode decomposition over empirical wavelet transform for the classification of power quality disturbances using support vector machine”, Procedia Computer Science, 46, pp.372-380, 2015
 M. K. Saini and K. Dhamija, ”Application of Hilbert-Huang Transform in the field of power quality events analysis”, In Proc. of Int. Conf. on Advances in Signal Processing and Communication, pp. 118-124, 2013.
 M. V. Reddy and R. Sodhi, ”A modified S-transform and random forests-based power quality assessment framework”, IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 1, pp. 78-89, 2018.
 S. Shukla, S. Mishra and B. Singh, ”Power quality event classification under noisy conditions using EMD-based de-noising techniques”, IEEE Transactions on industrial informatics, vol. 10, no. 2, pp. 1044-1054, 2014.
 S. Shukla, S. Mishra and B. Singh, ”Empirical-mode decomposition with Hilbert transform for power-quality assessment”, IEEE transactions on power delivery, vol. 24, no. 4, pp. 2159-2165, 2009.
 J. Huang and Z. Jiang, ”Power Quality Assessment of Different Load Categories”, Energy Procedia, 141, pp.345-351, 2017.
 A. Pavas and C. Garzon, ”Causality assessment for power quality stationary disturbances”, In Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES, pp. 1-7, 2014.
 S. Roy and S. Nath, ”Classification of power quality disturbances using features of signals”, International Journal of Scientific and Research Publications, vol. 2, no. 11, pp. 1-9, 2012.
 S. Chattopadhyay, S. Sengupta and M. Mitra, ”Area-based approach in power quality assessment”, Advances in Power Electronics, Article ID 147359, pp. 1-6, 2008.
 J. Barros, M. D. Apraiz and R. I. Diego, ”On-line monitoring of electrical power quality for assessment of induction motor performance”, In Electric Machines and Drives Conference, IEMDC’09. IEEE International, pp. 1140-1145, 2009.
 D. De Yong, S. Bhowmik and F. Magnago, Optimized Complex Power Quality Classifier Using One vs. Rest Support Vector Machines. Energy and Power Engineering, 9, pp. 568-587, 2017.
 Jinghuai Gao, XiaolonG Dong, Wen Bing Wang, Youming Li and Cunhan Pan, ”Instantaneous parameter extraction via wavelet transform”, IEEE Trans. on Geoscience and Remote Sensings, vol. 37, no.2 March 1999, pp.867-870.