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配用电网无线与电力线融合通信覆盖优化技术

王志伟 张立杨 王志鹏 李迅 王鹏 焦旭阳 杜飞

电波科学学报2025,Vol.40Issue(2):301-312,12.
电波科学学报2025,Vol.40Issue(2):301-312,12.DOI:10.12265/j.cjors.2024086

配用电网无线与电力线融合通信覆盖优化技术

Optimization coverage technology for wireless and power line integrated communication in power distribution grid

王志伟 1张立杨 1王志鹏 1李迅 1王鹏 1焦旭阳 2杜飞2

作者信息

  • 1. 山东智源电力设计咨询有限公司,济南 250021||国网山东省电力公司经济技术研究院,济南 250021
  • 2. 华北电力大学,北京 102206
  • 折叠

摘要

Abstract

In order to meet the differentiated business requirements of power distribution scenarios,comprehensively considering the coverage and connectivity of the network,we construct a wireless and power line communication(PLC)integrated communication coverage model,propose an improved multi-objective sparrow coverage optimization algorithm based on a hybrid strategy.First,we establish wireless and PLC integrated communication multi-objective coverage optimization problem.Secondly,we use the method of combining Tent mapping and lens imaging reverse learning is used to initialize the population of the sparrow search algorithm(SSA)to increase the diversity of the population.At the same time,we propose a two-stage adaptive convergence factor to adjust the ratio of explorers and followers during the operation of SSA.We also improve the existing boundary processing strategy and introduce the crossover mutation strategy to improve the global search capability and search accuracy of the algorithm.Finally,we introduce fast non-dominated sorting,crowding strategy and optimal external archiving,and change the single-objective SSA into a multi-objective algorithm.The simulation results show that compared with the multi-objective genetic algorithm,multi-objective particle swarm algorithm,and multi-objective evolutionary algorithm,the proposed improved multi-objective SSA increased the target area coverage by 5.2%,3.17%and 5.93%respectively.In addition,the Pareto optimal solution set obtained by the proposed algorithm provides a variety of solutions for the deployment of wireless and PLC integrated communication network nodes,and it has important guiding significance for the planning and construction of power distribution communication networks.

关键词

配用电/融合通信/改进麻雀算法(SSA)/多目标优化/覆盖优化

Key words

electricity distribution/integrated communication/improved sparrow search algorithm(SSA)/multi-objective optimization/coverage optimization

分类

信息技术与安全科学

引用本文复制引用

王志伟,张立杨,王志鹏,李迅,王鹏,焦旭阳,杜飞..配用电网无线与电力线融合通信覆盖优化技术[J].电波科学学报,2025,40(2):301-312,12.

基金项目

面向新型电力系统的配电网无线专网与PLC融合通信关键技术研究(SGSDJY00ZYJS2310260) (SGSDJY00ZYJS2310260)

电波科学学报

OA北大核心

1005-0388

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