基于局部反射理论的中压配电网电力线通信信道建模法

WANG Dong

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基于局部反射理论的中压配电网电力线通信信道建模法

更新时间：2025-08-13

- 基于局部反射理论的中压配电网电力线通信信道建模法
- Automation of Electric Power Systems Vol. 41, Issue 2, Pages: 178-183(2017)
- 作者机构：
  
  华北电力大学电气与电子工程学院,河北省,保定市,071003
- 作者简介：
- 基金信息：
- DOI：
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- Published：2017
- 稿件说明：
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WANG Dong. [J]. Automation of electric power systems, 2017, 41(2): 178-183.
DOI：

WANG Dong. [J]. Automation of electric power systems, 2017, 41(2): 178-183. DOI：

摘要

链路衰减是衡量载波通路传输质量的一项重要指标

为实现对信道衰减特性的预测

提出一种基于局部反射理论的中压配电网电力线通信(PLC)信道建模方法。利用电力线传输理论及局部反射理论

推导端接负载的传输线、不同特性参数的传输线级联情况下的电压传输规律。在此基础上

分别搭建中压配电网无分支线路、带分支线路及带负荷配电变压器线路的PLC信道数学模型。然后根据中压配电网拓扑结构

从配电网末端将所搭模型依次级联至载波信源处

得到末端节点与信源节点间的PLC信道模型

进而分析各节点处载波信号的传输特性。该方法原理简单

计算速度快

可移植性强。仿真及RLC电路实测结果表明了所提建模方法的正确性。

Abstract

Link attenuation is an important index to measure the transmission quality of the carrier channel. In order to predict the channel attenuation characteristics

a new method for power line communication(PLC)channel voltage attenuation in medium voltage distribution network based on partial reflection theory is presented. Using the transmission line theory and partial reflection theory

the voltage transmission discipline is derived with the transmission line of terminated load and the transmission line cascade of different characteristic parameters. Then

PLC channel mathematical models of medium voltage distribution network with and without branch lines and distribution transformer lines with loads are built. According to the medium voltage distribution network topology

the model is cascaded from the end of the distribution network to the carrier source to get the PLC channel model between the end node and the source node. And the transmission characteristics of the carrier signal at each node are analyzed. The method is simple in principle

fast in calculation and easy to be transplanted. The results of simulation and RLC circuit experimental show the correctness of the proposed modeling approach. This work is supported by Fundamental Research Funds for the Central Universities(No. 2016MS90).

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