基于小波包分解与重构算法的谐波电能计量

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (864 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract To realize high-accuracy measurement of harmonic energy in complicated industry field, a kind of harmonic energy measurement method based on wavelet packet decomposition and reconstruction algorithm is presented. The wavelet packet decomposition and reconstruction algorithm and the extraction method of harmonic signal based on this algorithm are introduced. The calculation expression of harmonic power and the principle of harmonic energy measurement are listed. The simulation analysis of harmonic energy measurement use db42 wavelet function, 50Hz as fundamental frequency, 2-layer wavelet packet transform, simulation input signal about forty fundamental periods and 800Hz for sampling. The simulation results of active energy and reactive energy of harmonic in steady or unsteady state demonstrate feasibility and accuracy of this algorithm. Three-phase harmonic energy measurement device based on VI technology developed on the basis of this algorithm realizes active energy and reactive energy measurement of each time harmonic. The accuracy class of fundamental energy measurement is up to 0.2S and the harmonic energy measurement fulfills the accuracy requirements of the A class harmonic measurement.

Key words： Harmonic energy wavelet packet decomposition and reconstruction unsteady state virtual instrument

Received: 11 May 2009 Published: 04 March 2014

PACS:

TM933.4

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Teng Zhaosheng
	Luo Zhikun
	Sun Chuanqi
	Gao Yunpeng
	Tang Qiu

Cite this article:

Teng Zhaosheng,Luo Zhikun,Sun Chuanqi等. Harmonic Energy Measurement Based on Wavelet Packet Decomposition and Reconstruction Algorithm[J]. Transactions of China Electrotechnical Society, 2010, 25(8): 200-206.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2010/V25/I8/200

[1] Testa A, Gallo D, Langella R. On the processing of harmonics and interharmonics: using Hanning window in standard framework[J]. IEEE Transactions on Power Delivery, 2004, 19(1): 28-34.
[2] Pang H, Li D X, Zu Y X, et al. An improved algorithm for harmonic analysis of power system using FFT technique[J]. Proceedings of the CSEE, 2003, 23(6): 50-54.
[3] Zhang Fusheng, Geng Zlaongxing, Yuan Wei. The algorithm of interpolating windowed FFT for harmonic analysis of electric power system[J]. IEEE Transactions on Power Delivery, 2001, l6(2): 160- 164.
[4] Qian H, Zhao R X, Chen T. Interharmonics analysis based on interpolating windowed FFT algorithm[J]. IEEE Transactions on Power Delivery, 2007, 22(2): 1064-1069.
[5] Mallat S. A wavelet tour of signal processing[M]. second edition (wavelet analysis & its applications).
San Diego: Academic Press, 1999.
[6] Hu L, Ran L. Direct method for calculation of AC side harmonics and interharmonics in an HVDC system[J]. IEE Proc. Gener. Transm. Distrib., 2000, 147(6): 329-335.
[7] Li Chun, Xu Wilsun, Tayjasanant T. Interharmonics: basic concepts and techniques for their detection and measurement[J]. Electric Power System Research, 2003, 66(1): 39-48.
[8] Davis E J, Emanuel A E. Harmonic pollution metering: Theoretical consideration[J]. IEEE Transactions on Power Delivery, 2000, 15(1): 19-23.
[9] Julio Ban, Diego R I. A new method for measurement of harmonic groups in power systems using wavelet analysis in the IEC standard framework[J]. Electric Power Systems Research, 2006, 76(4): 200-208.
[10] Daubuchies. Ten lectures on wavelets[M]. Philadelphia, PA: Society for Industrial and Applied Mathematics, 1992.
[11] Chan S C, Pun K S, Yeung K S, et al. On the design and implementation of FIR and IIR digital filters with variable frequency characteristics[C]. Proceeding of IEEE International Symposium on Circuits System, Phoenix, AZ, 2002, 2: 185-188.