is
quantified through correlation coefficients. The
greater the correlation coefficient, the more similar
the two signals are.
5
CONCLUSION
Harmonic pollution has a significant impact on the
safe, stable, and economic operation of the power
grid. In order to accurately carry out harmonic
control work, this article conducts research on
solving harmonic impedance and evaluating
harmonic emission levels. In practical engineering
applications, by comparing the background
harmonic voltage obtained with the voltage
measured at the common connection point when the
user is not working, the accuracy of the harmonic
impedance obtained on the system side and the user
side can be indirectly verified. Generally speaking,
there are 2 ways for calculating harmonics produced
by the utility sides harmonic sources. This paper
discusses the applicability of these two methods.
Based on the research results of this article, the
correctness of the results of quantifiable harmonic
impedance calculation, harmonic responsibility
quantification, and harmonic emission level
evaluation has guiding significance for precise
harmonic control.
REFERENCES
Yao Xiao, Jean-Claude Maun, and Hedi Ben Mahmoud,
Harmonic impedance measurement using voltage and
current increments from disturbing loads, Harmonics
and Quality of Power[C], Proceedings of the Ninth
International Conference on Harmonics and Quality of
Power. IEEE, 2000. https://doi.org/10.
1109/ICHQP.2000.897028
Jin Hui, Honggeng Yang, Shunfu Lin, and Maoqing Ye,
Assessing utility harmonic impedance based on the
covariance characteristic of random vectors[J], IEEE
Transactions on Power Delivery, vol. 25 (2010), no. 3,
pp. 1778–1786. https://doi.org/10.1109/TP
WRD.2010.2046340
Jin Hui, Walmir Freitas, Jose C. M. Vieira, Honggeng
Yang, and Yamei Liu, Utility harmonic impedance
measurement based on data selection[J], IEEE
Transactions on Power Delivery, vol. 27 (2012), no. 4,
pp. 2193–2203. https://doi.org/10.1109/TPWRD.20
12.2207969
Yonghai, Xu, Huang Shun, and Liu Yingying, Partial
Least-Squares Regression Based Harmonic Emission
Level Assessing at the Point of Common Coupling[C],
2006 International Conf. on Power System Techno-
logy. https://doi.org/10.1109/ICPST.2006.321428
Xi Zhao, and Honggeng Yang, A New Method to
Calculate the Utility Harmonic Impedance Based on
FastICA[J], IEEE Transactions on Power Delivery,
vol. 31 (2016), no. 1, pp. 381-388. https://doi.
org/10.1109/TPWRD.2015.2491644
Farzad Karimzadeh, Saeid Esmaeili, and Seyed Hossein
Hosseinian, A novel method for noninvasive
estimation of utility harmonic impedance based on
complex independent component analysis[J], IEEE
Transactions on Power Delivery, vol. 30 (2015), no. 4,
pp. 1843-1852. https://doi.org/10.1109/TPWRD.
2015.2398820
Farzad Karimzadeh, Saeid Esmaeili, and Seyed Hossein
Hosseinian, Method for determining utility and
consumer harmonic contributions based on complex
independent component analysis[J], Generation
Transmission & Distribution IET, vol. 10 (2016), no. 2,
pp. 526-534. https://doi.org/10.1049/iet-gtd.2015.0997
Yu Xianchuan, Xu Jindong, Hu Dan, and Xing Haihua, A
new blind image source separation algorithm based on
feedback sparse component analysis[J], Signal
Processing, vol. 93 (2013), no. 1, pp. 288-296.
https://doi.org/10.1016/j.sigpro.2012.08.010
V.G. Reju, Soo Ngee Koh, and Ing Yann Soon, An
algorithm for mixing matrix estimation in
instantaneous blind source separation[J], Signal
Processing, vol. 89 (2009), no. 9, pp. 1762-1773.
https://doi.org/10.1016/j.sigpro.2009.03.017
Bofill Pau, Zibulevsky Michael. Underdetermined blind
source separation using sparse representations[J],
Signal Processing, vol. 81 (2001), pp. 2353-2362.
https://doi.org/10.1016/S0165-1684(01)00120-7
Zhang Jie, Li Shiyun, A novel dictionary learning
approach based on blind source separation basis and its
application[J], Advances in Mechanical Engineering,
vol. 9 (2017), no. 6, pp. 1-11. https://doi.org/10.
1177/1687814017703008
Yuanqing Li, Shun-Ichi Amari, Andrzej Cichocki, Daniel
W. C. Ho, and Shengli Xie, Underdetermined blind
source separation based on sparse representation[J],
IEEE Transactions on Signal Processing, vol. 54
(2006), no.2, pp. 423-437. https://doi.org/10.1109/
TSP.2005.861743
Fasong Wang, Zhongyong, Rui Li, and Linrang Zhang, An
efficient algorithm for harmonic retrieval by combining
blind source separation with wavelet packet
decomposition[J], Digital Signal Processing
, vol. 46
(2015), pp. 133.150. https://doi.org/10.1016
/j.dsp.2015.07.010