{"title":"Detection and Classification of Power Quality Disturbances Using S-Transform and Wavelet Algorithm","authors":"Mohamed E. Salem Abozaed","volume":78,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":772,"pagesEnd":778,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/14779","abstract":"Detection and classification of power quality (PQ)\r\ndisturbances is an important consideration to electrical utilities and\r\nmany industrial customers so that diagnosis and mitigation of such\r\ndisturbance can be implemented quickly. S-transform algorithm and\r\ncontinuous wavelet transforms (CWT) are time-frequency\r\nalgorithms, and both of them are powerful in detection and\r\nclassification of PQ disturbances. This paper presents detection and\r\nclassification of PQ disturbances using S-transform and CWT\r\nalgorithms. The results of detection and classification, provides that\r\nS-transform is more accurate in detection and classification for most\r\nPQ disturbance than CWT algorithm, where as CWT algorithm more\r\npowerful in detection in some disturbances like notching","references":"[1] T. Lin, and A. Domijan, \"Real time Measurement of Power\r\nDisturbances Part 1. Survey and a Novel Complex Filter Approach\",\r\nElectric Power Systems Research, Elsevier, Science Direct, 76, pp.\r\n1027-1032. 2006.\r\n[2] A. Moussa, M.El-Gammal, E. Abdallah, and A. El-SLoud, \"Hardware -\r\nsoftware structure for on-line power quality assessment\", in Proc of the\r\n2004 ASME\/IEEE Joint, 2004, April 6-8, pp.147 - 152.\r\n[3] R. G. Stockwell, L. Mansinha, and R. P. Lowe, \"Localization of the\r\nComplex spectrum: The S-Transform\", IEEE Trans. On Signal\r\nProcessing, vol. 144, no. 4, pp. 998 - 1001. 1996.\r\n[4] M. V. Chilukuri, and P. K. Dash, \"Multiresolution S-Transform-Based\r\nFuzzy Recognition System for Power Quality Events\", IEEE\r\nTransactions on Power Delivery 19 1, pp. 323 - 330. 2004.\r\n[5] Alexander D. Poularikas. 2000. The Transforms and applications\r\nHandbook, 2nd Ed. Boca Raton, Florida: CCR press LLC.\r\n[6] I. W. C. Lee, and P. K. Dash, \"S-Transform Based Intelligent System\r\nfor Classification of Power Quality Disturbance Signals\". IEEE\r\nTransactions on Power Delivery 18(2): 800-805. 2003.\r\n[7] B. R. Jaya, K. Dusmanta and B. M. Karan, \"Power System\r\nDisturbance Recognition Using Wavelet and S-Transform Techniques\",\r\nInternational Journal of Emerging Electric Power Systems, 1(2). Article\r\n1007. 2004.\r\n[8] I. Daubechies, \"The wavelet transforms, time-frequency localization and\r\nsignal analysis\", IEEE Transactions Information Theory 36(5): 961-\r\n1005. 1990.\r\n[9] R. G. Stockwell, \"A basis for efficient representation of the Stransform\",\r\nJournal of Digital Signal Processing, Elsevier INC: 371-393.\r\n2006.\r\n[10] M. E. Salem Abozaed, A. Mohamed and S. Abdul Samad, \"Rule based\r\nsystem for power quality disturbance classification incorporating Stransform\r\nfeatures\" Expert Systems with Applications Journal, Elsevier,\r\n37 (2010) 3229-3235.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 78, 2013"}