中国电力 ›› 2014, Vol. 47 ›› Issue (1): 133-137.DOI: 10.11930/j.issn.1004-9649.2014.1.133.4

• 信息与通信 • 上一篇    下一篇

基于PSO的低压电力线载波通信阻抗自适应匹配

肖元强1, 2, 曹敏3, 李川1, 李波3, 陈富云1, 熊新1   

  1. 1. 昆明理工大学 信息工程与自动化学院,云南 昆明 650500;
    2. 云南电网公司 昆明理工大学研究生工作站,云南 昆明 650217;
    3. 云南电力试验研究院(集团)有限公司 电力研究院,云南 昆明 650217
  • 收稿日期:2013-11-03 出版日期:2014-01-31 发布日期:2015-12-18
  • 作者简介:肖元强(1989-),男,四川德阳人,硕士研究生,从事电力线载波通信,分布式光纤传感技术研究。E-mail: 474324255@qq.com
  • 基金资助:
    南方电网公司科研资助项目(K-YN2012-175)

Adaptive Impedance Matching of the PLC Based on PSO

XIAO Yuan-qiang1, 2, CAO Min3, LI Chuan1, LI Bo3, CHEN Fu-yun1, XIONG Xin1   

  1. 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
    2. Graduate Workstation of Kunming University of Science and Technology in Yunnan Power Grid Corporation, Kunming 650217, China;
    3. Electric Power Research Institute, Yunnan Provincial Electric Power Test & Research Institute (Group) Co., Ltd.,Kunming 650517, China
  • Received:2013-11-03 Online:2014-01-31 Published:2015-12-18
  • Supported by:
    This work is supported by China Southern Power Grid (K-YN2012-175)

摘要: 低压电力线载波通信的阻抗匹配电路通常为一个固定的无源电路。设计了基于粒子群算法(particle swarm optimization,PSO)的自适应阻抗匹配系统,并建立了目标函数,通过调节π型无源网络中的电容值来匹配负载阻抗的变化。对负载阻抗为容性、阻性和感性时的电力线载波通信网络仿真,选择载波频率点为150 kHz、260 kHz和480 kHz。结果表明,目标函数均在迭代20次后逐渐取得最优值,证明基于π型无源网络的粒子群算法能够较好的自适应匹配负载阻抗的变化。

关键词: 粒子群算法, 自适应, 电力线载波通信, 阻抗匹配, π, 型无源网络

Abstract: Impedance matching circuit of power line carrier(PLC) is usually an unchanged passive circuit. An adaptive impedance matching system of PLC based on PSO is designed, and the objective function is built. The changes of load impedance are matched through adjusting the two capacitors in the π-type passive network. PLC with the capacitive, resistive and inductive load is researched through simulation, and the selected carrier frequency points are 150 kHz, 260 kHz and 480 kHz. The results show that the objective function obtains the optimal value gradually after 20 generations. Experiments prove that the particle swarm optimization algorithm based on the π-type passive matching network cans adaptive matching the changes of load impedance.

Key words: particle swarm optimization, adaptive, PLC, impedance matching, π-type passive network

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