A New Method to Detect Voltage Sag Based on Wavelet Energy Entropy

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Abstract:

Voltage sags was a common power system disturbance, usually associated with power system faults. Nowadays, there were more and more methods to detect voltage sag, involving with RMS, peak voltage detect, FFT. Owing to their defections, they were too slow when they came to being applied to detect voltages sags. This paper presents a method based on wavelet energy entropy detection voltage sags, this method can detect the drop time quickly and sensitively. In order to verify the feasibility of the proposed method, a numerical example simulation has been done based on matlab / simulink , results show that there is a significant effect.

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2254-2258

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Guang Shen, Runping Chen, Xin Li. Study of Distribution Network Voltage Sags Using a Real-time Power Quality Monitoring System[J]. High Voltage Engineering, 2006, 32(5): 97-99. (in chinese).

Google Scholar

[2] Xiangning Xiao, Yonghai Xu, Hao Liu, Research on the Detection Method of Voltage Sag Characteristics[J]. Electric Power Automation Equipment; 2002, 22(1): 19-22. (in chinese).

Google Scholar

[3] N. S. Tunaboylu,E. R. Collins, JR. PR. Chaney, Voltage disturbance evaluation using the missing voltage technique, Proceedings of 8th International Conference on Harmonics and Quality of Power, Athens Greece, 1998:577-582.

DOI: 10.1109/ichqp.1998.759974

Google Scholar

[4] Yunchan Liu, Chun Huang, Liquan Ou, Method for Unbalanced Voltage Sags Detection Based on dq Transform[J], Proceedings of the CSU-EPSA, 2007, 19(3); 72-76. (in chinese).

Google Scholar

[5] Jie Yang, Jinhao Wang, Xuemeng Zhang, Yonghai Xu, Analysis of voltage sag source location based on wavelet multiresolution method[J], Power System Protection and Control, 2010, 38(22): 90-95. (in chinese).

DOI: 10.1109/appeec.2010.5448152

Google Scholar

[6] Lin Zhou, Hongchun Wu, Jing Meng. Study of the Voltage Sag Analysis Methods[J]. High Voltage Engineering, 2008, 34(5): 1010-1016. (in chinese).

Google Scholar

[7] Wenqing Huang, Yuxing Dai. Real-Time Detection Power Quality of Disturbances Based on Teager Energy Operator[J]. Transactions of China Electrotechnical Society, 2007, 22(6): 154-158. (in chinese).

Google Scholar

[8] Ganyun Lv, Weimeng Sun, Xiaodong Wang, Xiushan Cai. Voltage Sag Source Location Based on Three-point Method[J], Proceedings of the CSEE, 2011, 31(7): 36-40. (in chinese).

Google Scholar

[9] Rongjin Wei, Yaqun Jiang, Chun Huang, Yang Chen, Voltage sag real-time detecting method based on wavelet transform[J]. Computer Engineering and Applications, 2012, 49(11): 252-256. (in chinese).

Google Scholar

[10] Xianyong Xiao, Chao Ma, Honggeng Yang, Huaqiang Li. Stochastic Estimation of Equipment Sensitivity to Voltage Sag Based onVoltage Sag Severity Index and Maximum Entropy Principle[J]. Proceedings of the CSEE, 2009, 29(31): 115-121. (in chinese).

DOI: 10.1049/cp.2009.0500

Google Scholar

[11] Yan Lin, Danyue Wu, Xuemeng Zhang, Yuan Yuan, Yonghai Xu. An exploration on index about voltage sags[J], System Protection and Control . 2010, 38, (03):147-152(in chinese).

Google Scholar

[12] Yong Jia,Zhengyou He,Jing Zhao. A Method to Identify Voltage Sag Sources in Distribution NetworkBased on Wavelet Entropy and Probability Neural Network[J]. Power System Technology. 2009, 33(16):63-69. (in chinese).

Google Scholar

[13] Jikai Chen, Zhiyu Zhou, Haoyu Bingliang Li, Xu. Study of Fast Wavelet Entropy's Application in Feature Extraction ofTransient Signals in Transmission Line[J]. Transactions of China Electrotechnical Society, 2012,27(12): 219-225. (in chinese).

Google Scholar