Application of Wavelet Packet Improved Reconstruction Algorithm to Energy Measurement of Non-linear Loads

Authors

Hualong Cai, 1. State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China; ;2. Yalong River Hydropower Development Company, Ltd. , Chengdu 610051, China;
Kun Xiao, 2. Yalong River Hydropower Development Company, Ltd. , Chengdu 610051, China;

Abstract

Abstract: In order to realize high-accuracy measurement of nonlinear loads, an improved algorithm of harmonic energy measurement based on discrete wavelet packet decomposition and reconstruction was proposed. Frequency band and the corresponding number of decomposition layer were given according to the sampling number, window width and sampling frequency. To improve the non-ideal cut-off characteristic of wavelet filter and eliminate the frequency aliasing, the discrete Fourier and the inverse transformation were used to remove the extra frequency components. The calculation expression of harmonic power and the principle of harmonic energy measurement were listed. The simulation analysis of harmonic energy measurement using db40 wavelet function indicated that the improved algorithm presented restrained frequency aliasing to a certain extent, and it could provide an effective method for accurately detecting harmonic, inter-harmonic and time-varying harmonic of electrical power system.

Recommended Citation

Cai, Hualong and Xiao, Kun (2020) "Application of Wavelet Packet Improved Reconstruction Algorithm to Energy Measurement of Non-linear Loads," Journal of System Simulation: Vol. 27: Iss. 11, Article 29.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss11/29

First Page

2822

Revised Date

2015-03-29

DOI Link

https://doi.org/

Last Page

2828

CLC

TM993

Recommended Citation

Cai Hualong, Xiao Kun. Application of Wavelet Packet Improved Reconstruction Algorithm to Energy Measurement of Non-linear Loads[J]. Journal of System Simulation, 2015, 27(11): 2822-2828.