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Power Quality Warning of High-Speed Rail Based on Multi-Features Similarity
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 Title & Authors
Power Quality Warning of High-Speed Rail Based on Multi-Features Similarity
Bai, Jingjing; Gu, Wei; Yuan, Xiaodong; Li, Qun; Chen, Bing; Wang, Xuchong;
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As one type of power quality (PQ) disturbance sources, high-speed rail (HSR) can have major impacts on the power supply grid. Providing timely and accurate warning information for PQ problems of HSR is important for the safe and stable operation of traction power supply systems and the power supply grid. This study proposes a novel warning approach to identify PQ problems and provide warning prompts based on the monitored data of HSR. To embody the displacement and status change of monitored data, multi-features of different sliding windows are computed. To reflect the relative importance degree of these features in the overall evaluation, an analytic hierarchy process (AHP) is used to analyse the weights of multi-features. Finally, a multi-features similarity algorithm is applied to analyse the difference between monitored data and the reference data of HSR, and PQ warning results based on dynamic thresholds can be analysed to quantify its severity. Cases studies demonstrate that the proposed approach is effective and feasible, and it has now been applied to an actual PQ monitoring platform.
Multi-features similarity;Warning;Anomaly detection;AHP;Dynamic thresholds;Power quality (PQ);High-speed rail (HSR);
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Accurate Load Modeling Based on Analytic Hierarchy Process, Journal of Electrical and Computer Engineering, 2016, 2016, 1  crossref(new windwow)
A. Bueno, J. M. Aller , J. A. Restrepo, et al, “Harmonic and unbalance compensation based on direct power control for electric railway systems,” IEEE Trans on Power Electron, Vol.28, No.12, pp. 5823-5831, Dec. 2013. crossref(new window)

C. Wu, A. Luo, J. Shen, F. J. Ma, et al, “A negative sequence compensation method based on a twophase three-wire converter for a HSR way traction power supply system,” IEEE Trans on Power Electron, Vol. 27, No. 2, pp. 706-717, Feb. 2012. crossref(new window)

G. W. Chang, H. W. Lin, S. K. Chen, “Modeling characteristics of harmonic currents generated by HSR way traction drive converters,” IEEE Trans on Power Del, Vol. 19, No. 2, pp. 766-733, Apr. 2004. crossref(new window)

M. Brenna, F. Foiadelli, D. Zaninelli, “Electromagnetic model of high speed railway lines for power quality studies,” IEEE Trans on Power Syst, Vol. 25, No. 3, pp. 1301-1308, Aug. 2010. crossref(new window)

C.C. Shen, C.N. Lu, “A voltage sag index considering compatibility between equipment and supply,” IEEE Trans on Power Del, Vol. 22, No. 2, pp. 996-1002, Apr. 2007. crossref(new window)

A. McEachern, “Designing electronic devices to survive power-quality events,” IEEE Industry Applications Magazine, Vol. 6, No. 6, pp. 66-69, Nov-Dec. 2000. crossref(new window)

M. Brenna, F. Foiadelli, D. Zaninelli, “Electromagnetic model of high speed railway lines for power quality studies,” IEEE Trans on Power Syst, Vol. 25, No. 3, pp. 1301-1308, Aug. 2010. crossref(new window)

A. Capasso, G. Ghilardi, G. G. Buffarini, “Bologna-Florence high speed railway line: MV emergency traction power supply, operating conditions and PQ issues,” in Proceeding of IEEE_ESARS, pp.1-5, 2010.

F. Ciccarelli, M. Fantauzzi, D. Lauria, “Special transformers arrangement for AC railway systems,” in Proceeding of IEEE_ESARS, pp.1-6, 2012.

M. Gupta, R. Kumar, R. A. Gupta, “Neural network based indexing and recognition of power quality disturbances,” Telkomnika, Vol. 9, No. 2, pp. 227-236, Aug. 2011. crossref(new window)

S. He, K. Li, M. Zhang, “A real-time power quality disturbances classification using hybrid method based on s-transform and dynamics,” IEEE Trans on Instrumentation and Measurement, Vol. 62, No. 9, pp. 2465-2475. 2013. crossref(new window)

G. Li, G. Li, X. Fu, et al, “Synthetic evaluation of power quality based on entropy of relative intensity and local variable weight,” Power System Technology (POWERCON), 2010 International Conference, pp. 1-6, Oct. 2010.

Y. Hai, J. Chen, “Power quality evaluation based on wavelet packet decomposition and fuzzy logic,” Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference, pp. 504-507, May. 2010.

M. Simic, D. Denic, D. Zivanovic, et al, “Development of a data acquisition system for the testing and verification of electrical power quality meters,” Journal of Power Electronics, Vol. 12, No. 5, pp. 813-820, Sep. 2012. crossref(new window)

K. Yingkayun, S. Premrudeepreechacharn, “A power quality monitoring system for real-time detection of power fluctuations,” in Proc. IEEE 40th North Am erican Power Symposium, pp. 53-57, 2008.

Z. W. Zhang, B. Wu, J. S. Kang, et al, “A multipurpose balanced transformer for railway traction applications,” IEEE Trans on Power Del, Vol. 24, No. 2, pp. 711-718, Apr. 2009. crossref(new window)

S. L. Chen, R. J. Li, P. H. Hsi, “Traction system unbalance problem analysis methodologies,” IEEE Trans on Power Del, Vol. 19, No. 4, pp. 1877-1883, Oct 2004.

S. A. Yin, C. L. Su, R. F. Chang, “Assessment of power quality cost for high-tech industry,” in Proc. I EEE Power India Conference, pp. 927-932, 2006.

Z. L. Shu, S. F. Xie, Q. Z. Li, “Single-phase back-toback converter for active power balancing, reactive power compensation, and harmonic filtering in traction power system,” IEEE Trans on Power Elec, Vol. 26, No. 2, pp. 334-343, Feb. 2011. crossref(new window)

P. Moallem, A. Zargari, A. Kiyoumarsi, “Improvement in computation of delta V-10 flicker severity index using intelligent methods,” Journal of Power Electronics, Vol. 11, No. 2, pp. 228-236, May. 2011. crossref(new window)

A. Zheng, J. Li, J. Liu, et al, “One definition method for abnormal thresholds in steady-state power quality early warning,” C.N. Patent, 201110067687.7, Mar. 21, 2011.

J.B. McDonald, J. Sorensen, P.A. Turley, “Skewness and kurtosis properties of income distribution models,” Review of Income and Wealth, Vol. 59, No. 2, pp. 360-374, Jun. 2013. crossref(new window)

J. H. Estrada, E. A. Cano-Plata, C. Younes-Velosa, et al, “Entropy and coefficient of variation (CV) as tools for assessing power quality,” Ingenieria e Investigacion, Vol. 31, No. 2, pp. 31: 45-50, Oct. 2011.

X. Yuan, J. Zhao, G. Tang, et al, “Multi-level fuzzy comprehensive evaluation of power quality,” in Proceeding of IEEE_DRPT, Vol. 1, pp. 290-294, 2004.

AI. Chatzimouratidis, PA. Pilavachi, “Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process,” Energy Policy, Vol. 36, No. 3, pp. 1074-1089, Apr. 2008. crossref(new window)

S. Mishra, C. N. Bhende, B. K. Panigrahi, “Detection and classification of power quality disturbances using S-transform and probabilistic neural network,” IEEE Trans on Power Del, Vol. 23, No. 1, pp. 280-287, Jan. 2008. crossref(new window)

B. K. Panigrahi, V. Ravikumar Pandi, “Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy knearest neighbour algorithm,” Generation, Transmission & Distribution, IET, Vol. 3, No. 3, pp. 296-306, Mar. 2009. crossref(new window)

W. Gu, J. Bai, X. Yuan, et al, “Power Quality Early Warning Based on Anomaly Detection,” Journal of Electrical Engineering & Technology, Vol. 9, No. 4, pp. 1171-1181, Jul. 2014. crossref(new window)