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Low Cost Embedded System for Voltage Sag Analysis

by Aswathy M, R. Jayabarathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 14
Year of Publication: 2014
Authors: Aswathy M, R. Jayabarathi
10.5120/17250-7590

Aswathy M, R. Jayabarathi . Low Cost Embedded System for Voltage Sag Analysis. International Journal of Computer Applications. 98, 14 ( July 2014), 10-15. DOI=10.5120/17250-7590

@article{ 10.5120/17250-7590,
author = { Aswathy M, R. Jayabarathi },
title = { Low Cost Embedded System for Voltage Sag Analysis },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 14 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number14/17250-7590/ },
doi = { 10.5120/17250-7590 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:11.634258+05:30
%A Aswathy M
%A R. Jayabarathi
%T Low Cost Embedded System for Voltage Sag Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 14
%P 10-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the development of low cost embedded system for detecting and analysing the voltage sags in the ac supply. The proposed system have the capabilities of real time acquisition of voltage signal using an Embedded Controller and display its parameters in a Graphical User Interface in the Central Server (PC). The features of the signal are extracted using Discrete Wavelet Transform with Multi Resolution Analysis. The voltage sags are created in an experimental setup using voltage injection method. The real time voltages are sensed by Hall Effect Transducer and digitalised by mbed microcontroller (LPC1768 ARM Cortex-M3). The real time samples are then serially transmitted to the Central Server. A standalone application is developed in Central Server using Visual C Sharp for real time visualisation, processing and analysis of the signal.

References
  1. M. H. J. Bollen and I. Y. H. Gu, "Signal Processing of Power Quality Disturbances", Piscataway, NJ: IEEE Press, 2006.
  2. Yobo Duan, Xuhang Guo, "Research and design of power quality monitoring equipment", International Conference on Measurement, Information and Control (MIC), Vol. 2, May 18-20 2012.
  3. Krisda Yingkayun, Suttichai Premrudeepreechacharn1, Neville R. Watson and Kohji Higuchi, "Power quality monitoring system based on embedded system with network monitoring", Scientific Research and Essays Vol. 7(11), pp. 1280-1292, 23 March, 2012.
  4. S. D. Pardeshi, M. Ramamooorty, R. B. Kelkar,"On-Line Measurement of Power Quality Parameters Using Signal Processing Techniques", Proceedings of the 7th WSEAS International Conference on Power Systems (PE'07), Beijing,China, September 2007, pp. 282-287.
  5. S. Suja, Jovitha Jerome, "Power Signal Disturbance Classification Using Wavelet Based Neural Network", Serbian journal of electrical engineering, Vol. 4, No. 1, June 2007, 71-83.
  6. J. Liu, P. Pilay, "Application of Wavelet Analysis in Power System Disturbance Modeling", IEEE Trans. AFRICON, Vol. 2,No. X, 1999, pp. 639-642.
  7. M. Uyar, S. Y?ld?r?m, M. T. Genço?lu, "An Effective Wavelet-Based Feature Extraction Method for Classification of Power Quality Disturbance Signals", Elsevier Electric Power Systems Research, Vol. 78, 2008, pp. 1747–1755.
  8. M Karimi "Wavelet based on-line disturbance detection for power quality applications",IEEE Transactions on Power Delivery,2000,15(4):1212-1220.
  9. D. Saxena, S. N. Singh and K. S. Verma, "Wavelet based denoising of power quality events for characterization", International Journal of Engineering, Science and Technology Vol. 3, No. 3, 2011, pp. 119-132.
  10. J. Xargayó, J. Meléndez, J. Colomer, "Analysis strategy based on Wavelet decomposition for classification of Voltage sags", Control Engineering and Intelligent Systems Group - Institute of Informatics and Applications.
  11. Frederico Ramos Cesário,"Errors produced by method of detection of Voltage sag", ABCM Symposium Seriesi n Mechatronics - Vol. 5,Section VI Metrology, pp. 913-920.
  12. S. Debdas, S. Paikra, and T. Roy Choudhury, Member, IACSIT, "Voltage sag Detection through Wavelet Energy Coefficient", International Journal of Computer and Electrical Engineering, Vol. 5, No. 4, pp. 383-386,August 2013.
  13. F. B. Costay,A. Souza and N. S. D. Brito, "Real-Time Detection of Voltage sags Based on Wavelet Transform", Transmission and Distribution Conference and Exposition: Latin America (T&D-LA), 2010 IEEE/PES.
  14. Vasanthi V, Ashok S ,"Analysis of Harmonics of Electric Traction System using Wavelet Transform", International Journal of Computer Applications (0975 – 8887) Vol. 71– No. 24, June 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Power Quality (PQ) Discrete Wavelet Transform (DWT) Multi Resolution Analysis (MRA) Graphical User Interface (GUI) rms (root mean square).

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