Real Time Power Quality Analysis for Industrial Power Systems  Based on Fast S-Transform

Margo Pujiantara; Dimas Okky Anggriawan; Anang Tjahjono; Ardyono Priyadi; Mauridhi Hery Purnomo

doi:10.15866/iree.v12i3.11947

Real Time Power Quality Analysis for Industrial Power Systems Based on Fast S-Transform

Margo Pujiantara⁽¹⁾, Dimas Okky Anggriawan^(2*), Anang Tjahjono⁽³⁾, Ardyono Priyadi⁽⁴⁾, Mauridhi Hery Purnomo⁽⁵⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iree.v12i3.11947

Abstract

Power Quality (PQ) is a key issue for power systems measurement, operation, protection, security, planning and economy since it will lead to relay malfunction, aging, higher electricity costs and other disadvantages. This problem must necessarily be quickly monitored, investigated, and mitigated for security power systems operation. Therefore, real-time PQ analysis is an interesting research to be developed. One method for analyze this problem is Stockwell Transform (ST) widespread application in signal analysis. However, the high computational complexity of ST is a challenge that needs to be solved. Fast Stockwell Transform (FST) has lower computational complexity compared to ST. This paper proposes Power Quality Analysis (PQA) using the FST method and its implemented in industrial power systems. The FST is used to extract the PQ signal from the time-frequency domain. The implementation of FST using STM32F407VGT6 microcontroller is introduced. The simulation and application result is compared to the several common methods to validate the accuracy and efficiency of the proposed algorithm. The simulation results demonstrate that this algorithm can accurately detect the harmonic, voltage sag, voltage flicker, oscillatory transient, notch and spike. The experiment results of the harmonic are compared with the well known commercial product, showing a good agreement.
Copyright © 2017 Praise Worthy Prize - All rights reserved.

Keywords

Microcontroller; Fast S-Transform; Power Quality; Harmonic; Time-Frequency Analysis

Full Text:

PDF

References

Pujiantara, M., Anggriawan, D., Tjahjono, A., Permadi, D., Priyadi, A., Purnomo, M., A Real-Time Current Harmonic Monitoring System Based on Stockwell Transform Method, (2016) International Review of Electrical Engineering (IREE), 11 (2), pp. 193-199.
http://dx.doi.org/10.15866/iree.v11i2.8227

P. K. Dash, B. K. Panigrahi, G. Panda, “Power Quality Analysis Using S-Transform,” IEEE Trans. Power Del, vol. 18, no. 2, pp. 406-412, Apr. 2003
http://dx.doi.org/10.1109/tpwrd.2003.809616

IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE std. 1159, 2009
http://dx.doi.org/10.1109/ieeestd.1995.79050

IEEE Recommended Practice and Requirements for Harmonic Control in Electrical Power Systems, IEEE std. 519, 1992
http://dx.doi.org/10.1109/ieeestd.1993.114370

S. Mishra, C. N. Bhende, B. K. Panigrahi, “Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network,” IEEE Trans. Power Del, vol. 23, no.1, pp. 280-288, Jan. 2008
http://dx.doi.org/10.1109/tpwrd.2007.911125

D. Granados-Lieberman, R.J. Romero-Troncoso, R.A. Osornio-Rios, A. Garcia-Perez, E. Cabal-Yepez, “Techniques and Methodologies for power quality analysis and disturbances classification in power systems: a review”, IET Gener. Transm. Distrib., vol. 5, Iss. 4, pp. 519-529, 2011
http://dx.doi.org/10.1049/iet-gtd.2010.0466

Sudiharto, I., Anggriawan, D.O., Tjahjono, A., “Harmonic Load Identification Based on Fast Fourier Transform”, Journal of Theoretical and Applied Information Technology, Vol. 95, no. 2, March. 2017
http://dx.doi.org/10.1109/isitia.2016.7828726

M. Valtierra-Rodriguez, R.J. Romero-Tronsoco, A. Garcia Perez, D. Granados-Lieberman, R.A. Osornio-Rios, “Reconfigurable Instrument for Neural-Network-Based Power Quality Monitoring in 3-Phase Power Systems”, IET Gener. Transm. Distrib., vol. 7, Iss. 12, pp. 1498-1507, 2013
http://dx.doi.org/10.1049/iet-gtd.2012.0589

M. A. S. Masoum. S. Jamali, N. Ghaffarzadeh, “Detection and Classification of Power Quality Disturbances Using Discrete Wavelet Transform and Wavelet Networks”, IET Sci. Meas. Technol. vol. 4, Iss. 4, pp. 193-205
http://dx.doi.org/10.1049/iet-smt.2009.0006

O. Poisson, P. Rioual, M. Meunier, “Detection and Measurement of Power Quality Disturbances Using Wavelet Transform”, IEEE Trans. Power Del. vol. 15, no. 3, Jul. 2000
http://dx.doi.org/10.1109/61.871372

S. Santoso, E. J. Powers, W. M. Grady, A.C. Parsons, “Power Quality Disturbances Waveform Recognition Using Wavelet Based Naural Classifier-Part 1: Theoretical Foundation”, IEEE Trans. Power Del. vol. 15, no. 1, Jan. 2000
http://dx.doi.org/10.1109/61.847255

C.H. Lin, C.H. Wang, “Adaptive Wavelet Networks for Power-Quality Detection and Discrimination in a Power System”, IEEE Trans. Power Del. vol. 21, no. 3, Jul. 2006
http://dx.doi.org/10.1109/tpwrd.2006.874105

Hafidz, I., Elyza Nofi P, Anggriawan, D.O., Priyadi, A., Purnomo, M.H., “Neuro Wavelet Algorithm for Detecting High Impedance Faults in Extra High Voltage Transmission Systems”, International conference on Sustainable and Renewable Energy Engineering, 2017
http://dx.doi.org/10.1109/icsree.2017.7951519

F. Zhao, R. Yang. “Power Quality Disturbance Recognition Using S-Transform”, IEEE Trans. Power. Del, vol. 22, no. 2, Apr. 2007
http://dx.doi.org/10.1109/tpwrd.2006.881575

M. Biswal, P.K. Dash “Estimation of Time-Varying Power Quality Indices with an Adaptive Window-Based Fast Generalised S-Transform”,IET. Sci, Meas. Technol. Vol. 6, Iss. 4, pp. 189-197
http://dx.doi.org/10.1049/iet-smt.2011.0202

S. He. K. Li. M. Zhang. “A Real-Time Power Quality Disturbances Classification Using Hybrid Method Based S-Transform and Dynamics”, IEEE Trans. Instrum. Meas., vol. 62, no. 9, Sep. 2013
http://dx.doi.org/10.1109/tim.2013.2258761

M. J. B. Reddy, K. Sagar, D.K. Mohanta, “A multifunctional Real-Time Power Quality Monitoring System Using Stockwell Transform”, IET Sci. Meas. Technol., vol. 8, Iss. 4, pp. 165-169, 2014
http://dx.doi.org/10.1049/iet-smt.2013.0091

Pujiantara, A.E.M., Priyadi, A., Pujiantara, M., Penangsang, O., Aggriawan, D.O., Tjahjono, A., “Improvement of Power Quality Monitoring Based on Modified S-Transform”, International Seminar on Intellligent Technology and Its Application, 2016
http://dx.doi.org/10.1109/isitia.2016.7828717

W. Yao, Q. Tang, Z. Teng, Y. Gao and H. Wen, "Fast S-Transform for Time-Varying Voltage Flicker Analysis," in IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 1, pp. 72-79, Jan. 2014.
http://dx.doi.org/10.1109/tim.2013.2277618

P. R. Babu, P.K. Dash, S.K. Swain, S. Sivanagaraju, “A new fast discrete S-transform and decision tree for the classification and monitoring of power quality disturbance waveforms”, International Trans. Electrical Energy Systems, 2014
http://dx.doi.org/10.1002/etep.1776

M. Biswal, P.K. Dash, “Measurement and Classification of simultaneous power signal patterns with an S-transform variant and Fuzzy Decision Tree”, IEEE Trans. Industrial Informatics, Vol. 9, Iss. 4, 2013
http://dx.doi.org/10.1109/tii.2012.2210230

M. Biswal, P.K. Dash, “Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier”, Digital Signal Processing Vol. 23, Iss. 4, 2013
http://dx.doi.org/10.1016/j.dsp.2013.02.012

K. Koziy, B. Gou, J. Aslakson, ‘A Low-Cost Power Quality Meter with Series Arc-Fault Detection Capability for Smart Grid”, IEEE Trans. Power Del. vol. 28, no. 3, Jul. 2013
http://dx.doi.org/10.1109/tpwrd.2013.2251753

K. Yingkayun, S. Premrudeepreechacharn, K. Oranpiroj, “A Power Quality Monitoring System for Real-Time Fault Detection”, IEEE International Symposium on Industrial Electronics, 2009
http://dx.doi.org/10.1109/isie.2009.5213582

K. Yingkayun, S. Premrudeepreechacharn, “A Power Quality Monitoring System for Real-Time Detection of Power Fluctuations”, Power Symposium, 2008
http://dx.doi.org/10.1109/naps.2008.5307405

R.G. Stockwell, L. Mansinha, R.P. Lowe, “Localization of the Complex Spectrum: The S Transform”, IEEE Trans. Signal Processing, vol. 44, no. 4, Apr. 996
http://dx.doi.org/10.1109/78.492555

R. Kumar, B. Singh, D.T. Shahani. “Recognition of Power Quality Disturbances Using S-Transform Based ANN Classifier and Rule Based Decision Tree”, IEEE Trans., Industrial Application, 2015
http://dx.doi.org/10.1109/ias.2013.6682514

N. C. F. Tse, J. Y. C. Chan, W. H. Lau, L. L. Lai, “Hybrid Wavelet and Hilbert Transform With Frequency-Shifting Decomposition for Power Quality Analysis”, IEEE Trans. Instrum. Meas. vol. 61, no. 12, Dec. 2012
http://dx.doi.org/10.1109/tim.2012.2211474

IEEE Recommended Practice for Voltage Sag and Short Interruption Ride-Through Testing for End Use Electrical Equipment Rated Less than 1,000 Volts, IEEE std. P1688TM/D3Q
http://dx.doi.org/10.1109/ieeestd.2014.6895236

N. C. F. Tse, J. Y. C. Chan, W. H. Lau, J. T. Y. Poon, L. L. Lai, “Real-Time Power Quality Monitoring with Hybrid Sinusoidal and Lifting Wavelet Compression Algorithm”, IEEE Trans. Power. Del. vol. 27, no. 4
http://dx.doi.org/10.1109/tpwrd.2012.2201510

S. H. Cho, G. Jang, S. H. Kwon, “Time-Frequency Analysis of Power-Quality Disturbances via the Gabor-Wigner Transform”, IEEE Trans. Power Del. vol. 25, no. 1, Jan. 2010
http://dx.doi.org/10.1109/tpwrd.2009.2034832

G. W. Chang, C. I. Chen, Y. F. Teng, “Radial Basis Function Based Naural Network for Harmonic Detection”, IEEE Trans. Industrial Electronics, vol. 57, no. 6, Jun. 2010
http://dx.doi.org/10.1109/tie.2009.2034681

C. F. Nascimento, A. A. Oliveira Jr. A. Goedtel. A. B. Dietrich, “Harmonic Distortion Monitoring for Nonlinear Loads Using Neural-Network-Method”, Applied Soft Computing, 2013
http://dx.doi.org/10.1016/j.asoc.2012.08.043

S. Nath, P. Sinha, S. K. Goswami, “A Wavelet Based Novel Method for the Detection of Harmonic Sources in Power Systems”, Electrical Power and Energy Systems, 2012
http://dx.doi.org/10.1016/j.ijepes.2012.02.005

T. Radil. P. M. Ramos, F. M. Janeiro, A.C. Serra. “PQ Monitoring System for Real Time Detection and Classification of Disturbances in a Single Phase Power System”, IEEE Trans. Instrum. Meas. vol. 57, no. 8, 2008
http://dx.doi.org/10.1109/tim.2008.925345

G. Bucci, E. Fiorucci, F. Ciancetta, D. Gallo, C. Landi, M. Luiso, “Embedded Power and Energy Measurement System Based on an Analog Multiplier”, IEEE Trans. Instrum. Meas. vol. 62, no. 8, Aug. 2013
http://dx.doi.org/10.1109/tim.2013.2255989

STM32F407VGT6. [online]. Available. https: http://www.st.com/st-webui/static/active/en/resource/technical/document/datasheet/DM00037051.pdf

Voltage transducer AMC1100. [online]. Available: www.ti.com/lit/ds/ symlink/amc1100.pdf

Current Transducer ACS712. [online]. Available. https://www.mpja.com /download/acs712.pdf

DL850 Scopecorder. [online]. Available. http: //tmi.yokogawa.com/ discontinued-products/ oscilloscopes/ scopecorders/dl850dl850v scopecorder/

FLUKE 43B datasheet. [online]. available. www.farnell.com/ datasheets/16639

Buonomo, S., Musumeci, S., Pagano, R., Porto, C., Raciti, A., Scollo, R., Driving a mew monolithic cascode device in a dc-dc converter application, (2008) IEEE Transactions on Industrial Electronics, 55 (6), pp. 2439-2449.
http://dx.doi.org/10.1109/tie.2008.921655

Chimento, F., Musumeci, S., Raciti, A., Sapuppo, C., Di Guardo, M., A control algorithm for power converters in the field of photovoltaic applications, (2007) 2007 European Conference on Power Electronics and Applications, EPE, art. no. 4417291, .
http://dx.doi.org/10.1109/epe.2007.4417291

Refbacks

There are currently no refbacks.

Username
Password
Remember me