Detection and Localization of Electrical Power Quality Disturbances
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : Wai Phyo Khaing , Theingi Zin , Hla Myo Tun
Wai Phyo Khaing , Theingi Zin , Hla Myo Tun. "Detection and Localization of Electrical Power Quality Disturbances", International Journal of Engineering Trends and Technology (IJETT), V11(4),163-168 May 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Power quality disturbance is an issue that is gaining the attention of researchers, electrical utilities and customers. For developing tools for power quality (PQ) analysis and diagnosis PQ data is required. Therefore the generation of the typical power quality disturbances by using the mathematical equations is presented in this paper. PQ signal analysis carried out using transformation techniques that have its own advantages and limitations. Wavelet transform is particularly useful in detecting discontinuities in signals, and this makes it appropriate for detection of disturbances in power quality. In this work, Mathematical models for various PQ signal disturbances are developed with the goal of detecting and localization them using wavelet transform. Various types of mother wavelets were used to process different power quality disturbance signals. The comparison results show clearly that PQ disturbances are detected and the exact location of the disturbance can also be found on the time scale.
 M. Sushama, Dr. G. Tulasi Ram Das, Dr A. Jaya Laxmi (2007), “Mitigation of Voltage Sags with Dynamic Voltage Restorer Using Wavelets” Presented at the international Conference “RACE2007” during MAR 22nd-24th.
 C. Sidney Bums, Ramesh A. Gopinath Haitao Guo, “Introduction to Wavelets and Wavelet Transforms”, (1998).
 GAOUDA, A. M.—SALAMA, M. M. A.—SULTAN, M. R.—CHIKHANI, A. Y. : Application of Multiresolution Signal Decomposition For Monitoring Short-Duration Variations in Distribution Systems, IEEE Transactions on Power Delivery 15 No.2 (Oct 2000), 478-485.
 HUANG, S. J.—HSIEH, C. T.—HUANG, C. L. : Application of Wavelets to Classify Power System Disturbances, Electric Power System Research 47 No. 2 (Oct 1998), 87-93.
 GAOUDA, A. M.—SALAMA, M. M. A.—SULTAN, M. R.—CHIKHANI, A. Y. : Power Quality Detection and Classi?cation UsingWavelet-Multiresolution Signal Decomposition, IEEE Transactions on PowerDelivery 14 No. 4 (Oct 1999), 1469-1476.
 Hannu Olkkonen, “Discrete Wavelet Transforms - Biomedical Applications”, InTech Janeza Trdine 9, 51000 Rijeka, Croatia, 2011.
 Nermeen Talat, W.R.Ibrahim,George L.Kusic, “New Technique for Categorization of Power Quality Disturbances”, Power Quality and Supply Reliability Conference, 2008, IEEE, pp: 11-16.
 Zhi-yong; L I.and; and Wei-lin,WU. “Classification of power quality combined disturbances based on phase space reconstruction and support vector machines”. Journal of Zhejiang University SCIENCE A, 2008,Vol. 9, Issue:2, pp:173-181
 B.K.Panigrahi, V.R.Pandi,:„Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm.? IET Gener.Transm. Distrib., 2009,Vol. 3, Issue. 3, pp: 296-306
 Subhamita Roy and Sudipta Nath, “Classification of Power Quality Disturbances using Features of Signals”. International Journal of Scientific and Research Publications, Volume 2, Issue 11, November 2012, pp:4
PQ Disturbance Signal, Wavelet, Detection, MATLAB.