基于网络传输增益-匹配经济指数的配电物联网载波通信匹配优化方法
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TM732

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国家自然科学(51807063);中央高校基本科研业务费专项资金项目(2019MS081)


A Matching Optimization Method of Distribution Power Internet of Things Based on WP-NMEI
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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    在配电物联网的主从网络传输模式下,结合配电物联网的实际拓扑结构,提出一种基于WP-NMEI(网络传输增益-匹配经济指数)的配电物联网载波通信匹配优化方法。首先利用传输线理论及局部反射理论,推导主从网络模式下各载波设备间的匹配关系,验证了各从载波机间功率的可协调性;然后综合考虑网络传输增益与匹配经济指数之间的协调平衡,将配电物联网区域划分方法建模为非线性多约束条件下,基于WP-NMEI的0-1 整数规划问题;利用改进遗传算法求得配电物联网中继节点设立的最优解,将一个大的复杂配电物联网划分为若干个小的阻抗匹配区域网;最后在每个阻抗匹配区域网内使用粒子群智能算法进行匹配协调,避免网络模式下多通信节点间的功率浪费和阻抗失配问题。该方法匹配优化速度快,可移植性强,理论推导、仿真验证及实验室测试结果表明了该方法的可行性与有效性。

    Abstract:

    In the master-slave network mode of the distribution network, combined with the actual topology of a medium voltage (MV) distribution network, a matching optimization method for the carrier communication of MV distribution Internet of Things based on WP-NMEI(Network transmission gain - Matching economic index) is proposed. Firstly, the trans-mission line theory and local reflection theory are used to derive the matching relationship between the carrier devices in the master-slave network mode, and the power coordination between the slave carriers is verified; Then considering the coordination and balance between the network transmission gain and the matching economic index, the distribution IoT area division method is modeled as a 0-1 integer programming problem based on WP-NMEI under nonlinear multiple constraints; An improved genetic algorithm was used to obtain the optimal solution for the establishment of relay nodes in the distribution Internet of Things, and a large and complex distribution Internet of Things was divided into several small impedance matching area networks. Finally, a particle swarm intelligent algorithm is used for matching coordination in each impedance matching area network to avoid power waste and impedance mismatch be-tween multiple communication nodes in the network mode. The coordinated matching method has fast optimization speed and strong portability, and its feasibility and effectiveness are verified by theoretical derivation, simulation and laboratory test results.

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王艳,陈浩,赵洪山,等. 基于网络传输增益-匹配经济指数的配电物联网载波通信匹配优化方法[J]. 科学技术与工程, 2020, 20(28): 11612-11619.
wangyan, 陈浩, zhaohongshan, et al. A Matching Optimization Method of Distribution Power Internet of Things Based on WP-NMEI[J]. Science Technology and Engineering,2020,20(28):11612-11619.

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  • 收稿日期:2020-03-04
  • 最后修改日期:2020-06-19
  • 录用日期:2020-04-14
  • 在线发布日期: 2020-11-03
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