智能电网电力线通信系统信道噪声模型分析

将智能电网电力线通信系统作为研究对象,以建立两种噪声模型之间的关系、比较两种模型下的信噪比SNR(signal-to-noise ratio)为研究目标,提出两种噪声模型来模拟电力线通信信道中噪声情况的方法。该方法利用循环平稳噪声模型和米特尔顿A类噪声模型的概率密度函数,得出电力线通信信道中的噪声类别。同时,通过数学推导,得出两种噪声模型在正交频分复用OFDM(orthogonal frequency division multiplexing)系统中SNR表达式和在正交幅度调制16 QAM (quadrature amplitude modulation)技术下比较两种噪声模型的SNR。最后,利用MATLAB软件系统仿真,仿真结果显示,循环平稳噪声模型比米特尔顿A类噪声模型的SNR高2.5 dB左右,智能电网电力线通信系统可靠性得到提升,为电力线通信的发展研究提供了一定的理论基础。

Channel Noise Model Analysis for Power Line Communication System in Smart Grid

In this paper, the power line communication system in smart grid is taken as a research object. To set up the relation between two noise models and compare the signal-to-noise ratio(SNR) between them, two noise models are proposed to simulate the noise environment in power line communication channels, with which the probability density functions of the cyclostationary noise model and the Middleton class-A noise model are used to obtain the noise types of power line communication channel. Meanwhile, through mathematical derivations, the SNR expressions of the two noise models in orthogonal frequency division multiplexing(OFDM) system are obtained, and the SNRs are compared between the two noise models using the technology of quadrature amplitude modulation(16 QAM). Finally, MATLAB software is used to conduct system simulation. Simulation results show that the SNR of the cyclostationary noise model is approximately 2.5 dB higher than that of the Middleton class-A noise model, and the reliability of the power line communication system in smart grid is improved, which provides certain theoretical foundation for the research and development of power line communication.