Detection of Flicker Caused by Wind Farm Based on Mathematical Morphology Filter and Hilbert-Huang Transform

Abstract:

Voltage fluctuation and flicker are among the most serious impacts of wind power generation on power quality. To assess and suppress voltage fluctuation and flicker, an accurate detection method is necessary. According to characteristics of flicker caused by wind farm, a systematic, accurate and fast flicker detection method was introduced. First, with Mathematical Morphology (MM) filter, noises contained in flicker signal were filtered out. Then to the filtered flicker curves, a track method based on Hilbert transform was adopted to pick out the flickers envelope which is the base of attaining relevant parameters of flicker. At last, the envelope was simultaneously analyzed in both time-domain and frequency-domain by a novel non-stationary signal processing method, the Hilbert-Huang transform (HHT). Simulations show that with this method, time, frequency and amplitude information of non-stationary flicker signals can be accurately detected and the proposed method is effective in the analysis of flickers caused by wind farm.

• Periodical: Advanced Materials Research (Volumes 724-725)
• Pages: 555-560
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.724-725.555
• Online since: August 2013
• Authors: Tong Yu Xu, Hong Fang Zhen, Li Di Wang
• Keywords: Flicker Detection, Hilbert-Huang Transform, Mathematical Morphology Filter, Wind Farm

References

[1] ZHU Tao:Review of Some Problems Related to Wind Farm Integration. Southern Power System Technology, Vol.3 n.5 (2009), pp.58-69.

[2] QI Yong, JIANG Ya-qun, HUANG Chun:The Research on the Wind Farm Flicker Measurement Based on the Virtual Instrument. Electrical Measurement&Instrumentation, Vol.9(2010),pp.1-4.

[3] ZHU XUE-ling, ZHANG Yang, GAO Kun: Research on the compensation of reactive power for wind farms.Power System Protection and Control. Vol.37 n.16(2009), pp.68-76.

[4] Srinivasan K:Digital measurement of the voltage flicker.IEEE Transactions on Power Delivery. Vol.6 n.4(1991), pp.1593-1998.

DOI: 10.1109/61.97697

[5] Soliman S A,El-Hawary M E:Measurement of power systems voltage and flicker levels for power quality analysis:a static lav state estimation based algorithm. International of Journal of Electrical Power and Energy Systems. Vol.22 n.6(2000), pp.447-450.

DOI: 10.1016/s0142-0615(00)00003-x

[6] WEI Xiao-pu,XU Yong-hai,XIAO Xiang-ning: Survey on Methods for Measurement of Voltage Fluctuations and Flicker. Electrical Measurement&Instrumentation. Vol.4(2009), pp.1-5

[7] TONG Xiang-qian,YU Jian-ming,SU Wen-cheng: The Principle of Generating Voltage Flicker Signal. Power System Technology. Vol.20 n.10(1996),pp.4-47.

[8] WANG Bing-jun:Communication Theory and Application. Tianjin University Press(2000).

[9] WANG Zhi-qun,ZHU Shou-zhen,ZHOU Shuang-xi: Parameter Estimation of Voltage Flicker through Hilbert Transform. Automation of Electric Power Systems. Vol.28 n.5(2004),pp.34-37.

[10] JIA Xiu-fang,CHEN Qing, ZHAO Cheng-yong,et al:Comparison of the Flicker Detection Methods. High Voltage Engineering. Vol.35n.9(2009), pp.2126-2132.

[11] Huang N E,Shen Z,Long S R,et al:The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London Series A. Vol.454 (1998), pp.903-995.

DOI: 10.1098/rspa.1998.0193

[12] LI Tian-yun,ZHAO Yan,HAN Yong-qiang.et al:Application of Hilbert-Huang Transform Method in Detection of Harmonic and Voltage Flicker. Power System Technology. Vol.29 n.2(2005), pp.73-77.