|
|
|
| Extraction of Condition Signals of Electrical Plants by ACO Wavelet Threshold Estimation |
| Long Hongyu1,Zhang Xiaoyong2,Hu Xiaorui2,Feng Shanshan3,Li Long2 |
1. Southwest University Chongqing 400715 China;
2. Chongqing Electric Power Research Institute Chongqing 401123 China;
3. Zhejiang Hangzhou yuhang Electric Power company Hangzhou 311100 China |
|
|
|
|
Abstract Based on the problem of the fast and effectively extraction for condition signals of electrical plants in digital substation, this paper presents an approach of ant colony optimization threshold estimation(ACOTE) for de-noising of partial discharge(PD) signals. A class of shrinkage functions with continuous derivatives based on the SURE algorithm and ACO algorithm are utilized for the threshold estimation. The ACO algorithm is competent to obtain the global optimum thresholds and to raise the efficiency of adaptive searching computation. For verifying the de-noising results, two methods of standard soft wavelet threshold estimation(STE) and gradient-based threshold estimation (GTE) are used for de-noising of two typical artificial stable signals, simulative PD signal and the field PD signal. The results show that the white noise can be removed effectively by the ACOTE, the distortion of which is smaller than the signals de-noised by the STE and GTE. Meanwhile, the ACOTE is a much less time-consuming scheme and exhibits a promising prospect in practical application.
|
|
Received: 10 September 2014
Published: 14 September 2015
|
|
|
|
|
|
[1] 曾庆禹, 李国龙. 变电站集成技术的发展——现代紧凑型变电站[J]. 电网技术, 2002, 26(8): 60-67. Zeng Qingyu, Li Guolong. Evolution of integrated technique of substation-modern compact substation[J]. Power System Technology, 2002, 26(8): 60-67.
[2] 曾庆禹. 变电站自动化技术的未来发展二——集成自动化,寿命周期成本[J]. 电力系统自动化, 2000, 24(20): 1-5. Zeng Qingyu. The development of substation automation in the near feature part two¾Integrated automation, life cycle costs[J]. Automation of Electric Power Systems, 2000, 24(20): 1-5. Ding Shuwen. Choosing internal communication network of digital substation integrated automation system[J]. Relay, 2003, 31(7): 37-40.
[3] 董明, 严璋, 杨莉, 等. 基于证据推理的电力变压器故障诊断策略[J]. 中国电机工程学报, 2006, 26(1): 106-114. Dong Ming, Yan Zhang, Yang Li, et al. An evidential reasoning approach to transformer fault diagnosis [J]. Proceedings of the CSEE, 2006, 26(1): 106-114.
[4] Jian Li, Tianyan Jiang, Stanislaw Grzybowski, et al. Scale Dependent Wavelet Selection for De-Noising of Partial Discharge Detection[J]. IEEE Transaction on Dielectrics and Electrical Insulation, 2010, 17(6): 1705-1714.
[5] U. Kopf, K. Feser. Rejection of narrow-band noise and repetitive pulses in on-site PD measurements[J]. IEEE Transaction on Dielectrics and Electrical Insulation, 1995, 2(6): 433-446.
[6] 郭亮, 黄宏新, 成永红, 等. 嵌入式局部放电检测系统的数字滤波器设计[J]. 高电压技术, 2007, 33(8): 44-47, 55. Guo Liang, Huang Hongxin, Cheng Yonghong, et al. Design of digital filter used in embedded measuring system of PD[J]. High Voltage Engineering, 2007, 33(8): 44-47, 55.
[7] 彭莉, 唐炬, 张晓星, 等. 一种基于复小波变换提取PD信号的分块自适应复阈值算法[J]. 电工技术学报, 2008, 23(7): 112-117. Peng Li, Tang Ju, Zhang Xiaoxing, et al. An algorithm of complex self-adaptive block threshold for extracting PD signal[J]. Transactions of China Electrotechnical Society, 2008, 23(7): 112-117.
[8] 唐炬, 谢颜斌, 周倩, 等. 用于复小波变换去噪的复阈值构造算法[J]. 电工技术学报, 2008, 23(10): 121-128. Tang Ju, Xie Yanbin, Zhou Qian, et al. Study of the construction of complex threshold for complex wavelet transform suppressing noise[J]. Transactions of China Electrotechnical Society, 2008, 23(10): 121-128.
[9] 李化, 杨新春, 李剑, 等. 基于小波分解尺度系数能量最大原则的GIS局部放电超高频信号自适应小波去噪[J]. 电工技术学报, 2012, 27(5): 84-91. Li Hua, Yang Xinchun, Li Jian, et al. The maximum energy of wavelet decomposition approximation-related adaptive wavelet de-noising for partial discharge UHF pulse in GIS[J]. Transactions of China Electrotechnical Society, 2012, 27(5): 84-91.
[10] 江天炎, 李剑, 程昌奎等. 粒子群优化小波自适应阈值法用于局部放电去噪[J]. 电工技术学报, 2012, 27(5): 77-83. Jiang Tianyan, Li Jian, Cheng Changkui, et al. De- noising for partial discharge signals using PSO adaptive wavelet threshold estimation[J]. Transactions of China Electrotechnical Society, 2012, 27(5): 77-83.
[11] Jian Li, S. Grzybowski, Lin Du, et al. Extraction of partial discharges from noises by use of wavelet and pulse-sequence analysis[C]. 2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena, Kansas City Missouri, USA 2006: 656-659.
[12] 王晓蓉, 杨敏中, 董明, 等. 基于神经网络的局部放电脉冲特征参数选择方法[J]. 电工技术学报, 2002, 17(3): 72-76. Wang Xiaorong, Yang Minzhong, Dong Ming, et al. Method for the characteristic parameter selection of PD pulse based on neutral network[J]. Transactions of China Electrotechnical Society, 2002, 17(3): 72-76.
[13] D. L. Donoho. De-noising by Soft-Thresholding[J]. IEEE Trans. on Information Theory, 1995, 41(3): 613-627.
[14] X. P. Zhang and M. D. Desai. Adaptive Denoising Based on SURE Risk[J]. IEEE Signal Processing Letters, 1998, 5(10): 265-267
[15] 李剑, 孙才新, 杨霁, 等. 局部放电在线监测中小波阈值去噪法的最优阈值自适应选择[J]. 电网技术, 2006, 30(8): 25-30. Li Jian, Sun Caixin, Yang Ji, et al. Adaptive optimal threshold selection of wavelet-based threshold de- noising for on-line partial discharge monitoring[J]. Power System Technology, 2006, 30(8): 25-30.
[16] 王伯成, 施锦丹, 王凯. 粒子群优化算法的研究现状与发展概述[J]. 电讯技术, 2008, 48(5): 7-11. Wang Bocheng, Shi Jindan, Wang Kai. Research status and review of the development of particle swarm optimization[J]. Telecommunication Engineering, 2008, 48(5): 7-11.
[17] M. Nasri and H. Nezamabadi-pour. Image Denoising in the wavelet domain using a new adaptive thresholding function[J]. Neurocomputing, 2009, 72(4-6): 1012- 1025.
[18] 张良, 刘晓胜, 戚佳金等. 一种低压电力线通信改进分级蚁群路由算法[J]. 电工技术学报, 2014, 29(2): 318-323. Zhang Liang, Liu Xiaosheng, Qi Jiajin, et al. Study of improved hierarchical ant colony routing algorithm for low-voltage power line communication[J]. Transac- tions of China Electrotechnical Society, 2014, 29(2): 318-323.
[19] M. Dorigo, T. Stutzle. Ant Colony Optimization[M]. Bradford Books, 2004. |
|
|
|
2015, Vol. 30 
