A Novel Notch Filter Based Method for Substation Noise Control

doi:10.11930/j.issn.1004-9649.2014.6.43.5

Electric Power ›› 2014, Vol. 47 ›› Issue (6): 43-48.DOI: 10.11930/j.issn.1004-9649.2014.6.43.5

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A Novel Notch Filter Based Method for Substation Noise Control

JIANG Hong-yu¹, MA Hong-zhong¹, JIANG Ning², WANG Chun-ning², LI Kai²

1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
2. Nanjing Power Supply Company, Nanjing 210008, China

Revised:2014-03-12 Online:2014-06-18 Published:2015-12-08
About author:This work is supported by State Grid Corporation headquarters key technology projects in 2011 (2011-0810-2251)
Supported by:
国家电网公司总部2011年重点科技项目（2011-0810-2251）

Abstract

Abstract: For deficiencies of conventional passive methods for substation noise control, a new method of substation noise control which combines artificial neural networks and notch filter is presented in this paper. Firstly, substation noise is theoretically analyzed. Then, two conventional adaptive and active noise control methods, i.e. notch filter based active control method and artificial neural network based active control method, are analyzed. Taking into account of the characteristics of these two methods, an artificial neural network algorithm is used instead of Least Mean Square(LMS) algorithm of notch filter. Finally, these three methods are comparatively evaluated by using actual noise signals from substation. The results show that the proposed method has better stability and suppression effects of substation noise compared with other two conventional methods mentioned.

Key words: substation noise, notch filter, artificial neural network, adaptive noise control

CLC Number:

TM41

JIANG Hong-yu, MA Hong-zhong, JIANG Ning, WANG Chun-ning, LI Kai. A Novel Notch Filter Based Method for Substation Noise Control[J]. Electric Power, 2014, 47(6): 43-48.

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References

[1] 祝志祥,韩钰,聂京凯,等. 变电站降噪用铝纤维吸声材料[J].中国电力,2012,45（7）：57-61.
ZHU Zhi-xiang, HAN Yu, NIE Jing-kai, et al . Research on sound-absorption material of aluminum fiber for substation noise reduction [J]. Electric Power, 2012, 45(7): 57-61.
[2] 肖冰,徐迪. 750 kV变电站噪声预测及防治[J]. 电力建设,2012,33（6）：30-33.
XIAO Bing, XU Di. Noise prediction and control in 750 kV substation [J]. Electric Power Construction, 2012, 33(6): 30-33.
[3] 李冰,胡国清. 降低变压器噪声的措施初探[J]. 变压器,2004,41（8）：40-42.
LI Bing, HU Guo-qing. Discussion on measure of reduction of transformer noise [J]. Transformer, 2004, 41(8): 40-42.
[4] 邓珺,杨向宇,龙巍. 变压器的降噪技术[J]. 变压器,2009,46（3）：34-38.
DENG Jun, YANG Xiang-yu, LONG Wei. Transformer noise reduction technology [J]. Transformer, 2009, 46(3): 34-38.
[5] 徐刚,马宏忠,陈楷,等. 电力变压器噪声的主动控制[J]. 变压器,2013,50（5）：15-18.
XU Gang, MA Hong-zhong, CHEN Kai, et al . Power transformer active noise control [J]. Transformer, 2013, 50(5): 15-18.
[6] 周建国,李莉华,杜茵,等. 变电站、换流站和输电线路噪声及其治理技术[J]. 中国电力,2009,42（3）：75-78.
ZHOU Jian-guo, LI Li-hua, DU Yin, et al . Review on methods of noise reducing for equipment in substations, converter stations and transmission lines [J]. Electric Power, 2009, 42(3): 75-78.
[7] FULLER C R, Von FLOTOW A H. Active control of sound and vibration [J]. IEEE Transaction on Control Systems, 1995, 15(6):9-19.
[8] ELLIOTT S J, NELSON P A. Active noise control[J]. IEEE Signal Processing Magazine, 1993, 10(4): 12-35.
[9] 陈克安. 有源噪声控制[M]. 北京：国防工业出版社,2003.
[10] 常建华, 全书海. 自适应陷波器的原理、应用及其算法仿真[J]. 武汉汽车工业大学学报,1998,20（3）：46-49.
CHANG Jian-hua, QUAN Shu-hai. Adaptive notch filter principle, application and algorithm simulation[J]. Journal of Wuhan Automotive Polytechnic University, 1998, 20(3): 46-49.
[11] 付进,梁国龙. 多通道自适应陷波滤波器组设计及性能分析[J]. 哈尔滨工程大学学报,2007,28（9）：1030-1035.
FU Jin, LIANG Guo-long. Experimental study of heat and mass transfer characteristics on a rotating cylinder surface [J]. Journal of Harbin Engineering University, 2007, 28(9): 1030-1035.
[12] 伍彩云,吕智奇,唐健. 自适应有源消声算法的研究[J]. 沈阳理工大学学报,2005,24（2）：13-16.
WU Cai-yun, LU Zhi-qi, TANG Jian. Research of the adaptive active noise control algorithm[J]. Journal of Shenyang Ligong University, 2005, 24(2): 13-16.
[13] 马幼捷,杨海珊,周雪松,等. 基于人工神经网络的风电场建模[J]. 中国电力,2010,43（9）：79-82.
MA You-jie, YANG Hai-shan, ZHOU Xue-song, et al . Modeling of wind farms based on artificial neural networks[J]. Electric Power, 2010, 43(9): 79-82.
[14] 凌云鹏,阉鹏飞,韩长占,等. 基于BP神经网络的输电线路工程造价预测模型[J]. 中国电力,2012,45（10）：95-99.
LING Yun-peng, YAN Peng-fei, HAN Chang-zhan, et al . BP neural network based cost prediction model for transmission projects [J]. Electric Power, 2012, 45(10): 95-99.
[15] 史忠植. 神经网络[M]. 北京：高等教育出版社,2009.
[16] 侯宏,杨建华,孙进才. 神经网络BP算法在有源消声中的应用[J]. 西北工业大学学报,1999,17（1）：25-28.
HOU Hong, YANG Jian-hua, SUN Jin-cai. Neural network BP algorithm in active noise control applications[J]. Journal of Northwestern Polytechnical University, 1999, 17(1): 25-28.
[17] 章洁,蒋世奇. 基于改进粒子群算法的自适应陷波器设计[J].计算机科学,2011,38（10A）：423-424.
ZHANG Jie, JIANG Shi-qi. Based on improved particle swarm adaptive notch filter design [J]. Computer Science, 2011, 38(10A): 423-424.

A Novel Notch Filter Based Method for Substation Noise Control

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