基于自适应最小均方误差算法实现10kV电力线通信的噪声对消

Implementing Noise Cancellation of 10 kV Power Line Communication Based on Adaptive Least-Mean-Square Error Algorithm

首先介绍了中压电力线信道噪声通用模型,对现场采集的噪声进行互相关系数计算,并采用对称分量法进行相关性分析,得出三相电力系统相间噪声具有一定相关性的结论。改变单相传输模式,根据两相噪声的一致性特点,提出基于自适应最小均方误差(least-mean-square error,LMS)算法实现中压电力线通信(medium voltage power line communication,MV-PLC)的噪声对消。自适应LMS算法虽然收敛速度较慢,但是计算量小,易于实现。仿真结果表明,噪声对消方法的采用有效改善了10kV中压电力线的信噪比,为10kV配网自动化系统采用载波通信技术提供了新的实现途径。

In this paper firstly the general channel noise model for medium-voltage power line communication is presented. Using symmetrical component method, the correlation analysis on calculated results of cross correlation coefficient of on-site collected noise is performed and the conclusion is obtained： the interphase noise of three-phase power transmission line is relevant a certain extent. Changing the general idea of the noise elimination based on single-phase line and based on the feature that the noise of two phases are consistent, it is proposed to implement noise cancellation of medium voltage power line communication （MV-PLC） by adaptive least-mean-square （LMS） error algorithm. Although the adaptive least-mean-square （LMS） error algorithm converges a bit slowly, however this method is convenient to implement and its calculation burden is light. Simulation results show that using the proposed method the signal-to-noise ratio of 10kV power line communication is effectively improved, thus the proposed method offers a new reliable approach to adopt carder communication technology for distribution automation of 10kV distribution network.