Noise Modeling for Power Line Communication Channel Using the LS-SVM and Wavelet Neural Networks

被引：0
|
作者：
Zhang H. [1 ]
Lu W. [1 ]
Zhao X. [1 ]
Li L. [1 ]
Liu J. [2 ]
机构：
[1] Institute of Electrical & Electronic Engineering, North China Electric Power University, Beijing
[2] State Grid information and Telecommunication Group Co. Ltd, Beijing
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2018年 / 33卷 / 16期
关键词：
Least square support vector machine (LS-SVM); Low-voltage power line communication (PLC); Noise; Wavelet neural network;
D O I：
10.19595/j.cnki.1000-6753.tces.170961
中图分类号：
学科分类号：
摘要：
Power line communication (PLC) is an important communication way in smart grid. PLC channel noise is complex in such environment. It is essential to establish PLC channel noise model for in-depth study of the performance of low-voltage PLC in smart grid. This paper proposes two PLC channel noise models based on the least square support vector machine (LS-SVM) and wavelet neural network, respectively aiming at characterizing low-voltage PLC channel noise. To validate and compare their applicability to the time-variant PLC channels, noise measurements of low-voltage PLC channels in indoor and outdoor scenarios were carried out, the accuracy and efficiency of two models were studied based on large amount of measurement data. The results show that both models can simulate and adapt to the time-varying low-voltage PLC channels very well, while LS-SVM model has shorter simulation time and higher accuracy. Moreover, the proposed noise models are compared with traditional Markovian-Gaussian model. The results show that our proposed noise models have higher accuracy and lower complexity, especially the LS-SVM model is more appropriate to be applied as a noise generator instead of current Markovian-Gaussian model. The proposed models are helpful for investigating EMI on internal and external electromagnetic sources in the PLC and wireless. © 2018, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：3879 / 3888
页数：9
相关论文
共 23 条
  • [1] Galli S., Scaglione A., Wang Z., Power line communications in the smart grid, Proceedings of the IEEE, 99, 6, pp. 998-1027, (2011)
  • [2] Lu W., Zhang H., Zhao X., Et al., Research on the effect of network parameters for outdoor low-voltage broadband power line channels, Transactions of China Electrotechnical Society, 31, pp. 221-229, (2016)
  • [3] Gu Z., Liu H., Zhan J., Et al., Noise suppression investigation of a narrowband power line communication for smart grid, Transactions of China Electrotechnical Society, 29, 11, pp. 269-276, (2014)
  • [4] Fan B., Ding G., Lan H., Et al., Research on the shortest path and multi-path transmission statistical model of PLC in smart grid, Transactions of China Electrotechnical Society, pp. 387-390, (2013)
  • [5] Gotz M., Rapp M., Dostert K., Power line channel characteristics and their effect on communication system design, IEEE Communications Magazine, 42, 4, pp. 78-86, (2004)
  • [6] Jiang X., Nguimbis J., Cheng S., Noise characteristics investigation in low voltage power line communication, Proceedings of the CSEE, 20, 11, pp. 30-35, (2000)
  • [7] Laguna-Sanchez G., Lopez-Guerrero M., On the use of alpha-stable distributions in noise modeling for PLC, IEEE Transactions on Power Delivery, 30, 4, pp. 1863-1870, (2015)
  • [8] Guo H., Wu J., Ying Z., Et al., Application of improved Markov chain in impulse noise modeling of power line communication channel, Power System Protection and Control, 40, 5, pp. 129-132, (2012)
  • [9] Meng H., Guan Y.L., Chen S., Modeling and analysis of noise effects on broadband power-line communi-cations, IEEE Transactions on Power Delivery, 20, 2, pp. 630-637, (2010)
  • [10] Dubey A., Mallik R.K., Schober R., Performance analysis of a power line communication system employing selection combining in correlated log-normal channels and impulsive noise, Iet Communications, 8, 7, pp. 1072-1082, (2014)
123