Reviewing Processing Algorithm Adopted in Power System Harmonics Measurement

Main Article Content

Thip Manmek

Abstract

Harmonics measurement in power system plays an important part in measuring and improving power quality. Many methods have been proposed to determine the amplitude and phase of fundamental and harmonic components of time-varying waveform. As this information is essential in several applications including protection, control and monitoring in power system. The three basic considerations when selecting the suitable method are; the response time, implementation complexity and accuracy. This paper presents a brief review of different advanced signal processing techniques proposed for used in power systems applications. The basic requirements of harmonic measurements in power system are generally described. The method applied for measuring harmonics are analyzed and discussed.

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Academic Article

References

Francisco C. De La Rosa, Harmonics and Power Systems, CRC Press, 2006.

Y. Baghzouz, R. F. Burch, A. Capasso, A.Cavallini, A. E. Emanuel, et al., “Time varying harmonics: Part II-Harmonic summation and propagation,” IEEE Trans. Power Systems, vol.17, pp.279-285. Jan. 2002.

P. S. Sensarma, K. R. Padiyar, and V. Ramanarayanan, "Analysis and performance evaluation of a distribution STATCOM for compensating voltage fluctuations," IEEE Trans. Power Delivery,, vol. 16, pp. 259-264, 2001.

S. Rechka, E. Ngandui, X. Jianhong, and P. Sicard, "Analysis of harmonic detection algorithms and their application to active power filters for harmonics compensation and resonance damping," Canadian Journal of Electrical and Computer Engineering, , vol. 28, pp. 41-51, 2003.

P.M. Anderson, Power System Protection,IEEE press series on power engineering, 1999.

J. A. Rosendo Macias and A. Gomez Exposito, "Efficient moving-window DFT algorithms," IEEE Trans. Circuits and Systems II: Analog and Digital Signal Processing, vol. 45, pp. 256-260, 1998.

H. E. Hanrahan and A. D. Valkin, "Fast method of estimation of signal parameters using the discrete Fourier transform," Proceedings., Southern African Conference on Communications and Signal Processing (COMSIG 1989), pp. 75-80, 1989.

Y. Baghzouz, R. F. Burch, A. Capasso, A. Cavallini, A. E. Emanuel, M. Halpin, A. Imece, A. Ludbrook, G. Montanari, K. J. Olejniczak, P. Ribeiro, S. Rios-Marcuello, L. Tang, R. Thaliam, and P. Verde, "Time-varying harmonics. I. Characterizing measured data," IEEE Trans. Power Delivery, , vol. 13, no.3, pp. 938-944, 1998.

D. Agrez, “Weighted multipoint interpolated DFT to improve amplitude estimation of mutifrequency signal,” IEEE Trans. Meas., vol.51, no.2, pp.287-292, Apr. 2002.

J. A. Rosendo Macias and A. Gomez Exposito, "Efficient moving-window DFT algorithms," IEEE Trans. Circuits and Systems II: Analog and Digital Signal Processing, vol. 45, pp. 256-260, 1998

Duque, C.; Silveira, P.M.; Baldwin, T.; Ribeiro, P.F.; , "Novel method for tracking time-varying power harmonic distortions without frequency spillover," IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008, pp.1-6, July 2008.

Meyer SK, “Power quality event analysis using wavelet feature based fuzzy classification,” IEEE/PES transmission and distribution conference and exposition, 2008, pp.1-6, 21-24 April 2008.

Saleh SA, Rahman MA.” Wavelet-based dynamic voltage restorer for power quality improvement”, 35th Annual power electronics specialists conference, PESC04, vol.4, pp.3152-3160, 2004.

S. Santoso, E. J. Powers, W.M. Grady, and P. Hofmann, “Power quality assessment via wavelet transform,” IEEE Trans. Power Delivery, vol.11, 99.924-930, Apr. 1996.

C. Lin and C. Wang, “Adaptive wavelet networks for power quality detecton and discrimination in a power system,” IEEE Trans. Power Delivery, vol.21, pp.1006-1113, July 2006.

P. Ribeiro, “Wavelet transform: an advanced tool for analyzing non stationary harmonic distortion in power systems,” in Proc. IEEE International Conference Harmonics in Power Systems,1994

V.L. Pham, K.P. Wong, “Wavelet transform based algorithm for harmonic analysis of power system transorms,” in IEE Proc. Generation, Transmission and Distribution, Vol.148, No.3, May 1999.

Min Li, Guang-pu He, Xiao-ying Zhang, Xiao-hong, “Power quality detecting base on fast lifting wavelet transform”, Chinese Control and decision conference, 2008, T&D, pp.1-6, April 2008.

Lobos T. KozinaT, Koglin HJ, “Power System Harmonics estiation using linear least squres method and SVD,”EE Proc Gener Trans. Distrib. 2001, Vol.148, PP 567-572, 2001.

Xiaohua Jiang; Ji King; Emadi, A.; "A power harmonics detection approach based on the last squares energy minimization principle," Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE, vol.3, no., pp. 2934- 2938 Vol. 3, 2-6 Nov. 2004.

Liu Chuanlin; Liu Kaipei; "On Instantaneous Characteristic of Adaptive Harmonic Detection Based on LMS," Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific , vol., no., pp.1-3, 28-31 March 2010.

W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical recipes in C++ : the art of scientific computing, 2nd ed. New York: Cambridge University Press, 2002.

Manmek, T.; Mudannayake, C.P.; Grantham, C.; "Robust Signal Processing System for Identification of Harmnonics in an Active Power Filter Application," International Conference on Power Electronics and Drives Systems, 2005. PEDS 2005., vol.1, pp.313-318, 2005.

Adly A. Girgis, W. Bin Chang and Elham B. Makram, “A digital recursive measurement scheme for online tracking of power system harmonics”, IEEE Trans. Power Deliver , vol. 6, no. 3, pp. 1153–1160, July 1991.

A. A. Girgis, W. Chang, and E. B. Makram, "Analysis of high-impedance fault generated signals using a Kalman filtering approach," IEEE Trans. on Power Delivery, vol. 5, pp. 1714-1724, 1990.

H. Ma and A. A. Girgis, “Identification and tracking of harmonic sources in a power system using a Kalman Filter,” IEEE Trans. Power Del. Vol.11, no.3, pp.1659-1665, July 1996.

P.K. Dash, A. K. Pradhan and G. Panda, “Frequency estimation of distorted power system signal using extended complex Kalman Filter,” IEEE Trans. Power Del., vol.14, no.3, pp.761-766, July 1999.

K. Kennedy, G. Lightbody, and R. Yacamini, "Power system harmonic analysis using the Kalman filter," IEEE Power Engineering Society General Meeting, vol. 2, pp. 752-757, 2003.

R. Aghazadeh, H.Lesani, M.Sanaye-Pasand, and B. Ganji, “New technique for frequency and application estimation of power system signal,” IEE Proc.-Generation, Transmission, Distrib., vol,152, no.3, pp.435-440, May 2005.

V. M. M. Saiz and J. B. Guadalupe, "Application of Kalman filtering for continuous real-time tracking of power system harmonics," IEE Proceedings - Generation, Transmission and Distribution, vol. 144, pp. 13-20, 1997.

W. Yeetum and T. Manmek “Fuzzy Logic-Based Adaptive Kalman Filter Algorithm for Online Measurement in Power Systems”, Engineering Transaction, A research publication of Mahanakorn University of Technology Vol.12, pp.40-52, 2009.