A detection algorithm of voltage sag based on improved single-phase dq transformation and morphological filtering

被引：0
作者：
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin [1 ]
150001, China
机构：
[1] School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin
来源：
Dianji yu Kongzhi Xuebao | / 4卷 / 46-52期
关键词：
Dq transformation; Morphological filtering; Phase angle jump; Smart grid; Voltage sag;
D O I：
10.15938/j.emc.2015.04.008
中图分类号：
学科分类号：
摘要：
Aiming at the problems of bad real time capability and low accuracy on voltage sag characteristic quantity detecting and combined with mathematical morphology and dq transformation, a new algorithm for voltage sag detection was presented, which integrates improved single-phase dq transformation with morphological filtering. The principle of improved single-phase dq transformation algorithm was studied, and a mixed morphological filter was constructed with structure parameters given. The detection performances of the proposed method using in ideal voltage sag waveform and containing harmonic voltage sag waveform were analyzed by simulating, and the results have been verified through experiments. The results of simulation analysis and experimental verification show that the amplitude and phase angle of voltage sag can be got quickly and accurately by using improved single-phase dq transformation and morphological filtering is used to remove AC components which is low computational complexity and high precision. ©, 2015, Editorial Department of Electric Machines and Control. All right reserved.
引用
收藏
页码：46 / 52
页数：6
相关论文
共 15 条
  • [1] Lu G., Sun W., Wang X., Et al., Voltage Sag Source Location Based on Three-point Method, Proceedings of the CSEE, 31, 7, pp. 25-26, (2011)
  • [2] Nielsen J.G., Newman M., Control and testing of a dynamic voltage restorer (DVR) at medium voltage level, IEEE Trans on Power Electronics, 19, 3, pp. 806-813, (2004)
  • [3] Cao L.-Z., Wang X., He J., Research of voltage sag detection methods based on DSP, Power System Protection and Control, 13, pp. 78-83, (2012)
  • [4] Gomez J.C., Morcos M.M., Voltage Sag and Recovery Time in Repetitive Events, IEEE Transactions on Power Delivery, 17, 4, pp. 1037-1043, (2002)
  • [5] Lee D.M., Habetler T.G., Harley R.G., Et al., A voltage sag supporter utilizing a PWM-switched autotransformer, IEEE Trans on Power Electronics, 22, 2, pp. 626-635, (2007)
  • [6] Liu L., Jia W., Xiao X., Et al., Measurement method of voltage sag by wavelet transform and RMS method, Automations of Electrical Power Systems, 27, 11, pp. 30-33, (2003)
  • [7] Zhao F., Yang R., Voltage sag disturbance detection based on short time Fourier transform, Proceedings of the CSEE, 27, 10, pp. 28-34, (2007)
  • [8] Li C., Yang B., Zou Y., Et al., Voltage sag real-time detection method based on feedback neural network, Electric Machines And Control, 14, 9, pp. 19-25, (2010)
  • [9] Liu Y.-M., Bai X.-M., Wang W.-P., Et al., A Dynamics-based method for voltage sags detection, Automations of Electrical Power Systems, 28, 2, pp. 45-49, (2004)
  • [10] Li Z., Wu W., Voltage sag duration detecting method based on fractal number measurement, Transactions of China Electrotechnical Society, 22, 9, pp. 148-153, (2007)
12