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输电线路在线监测的层次化通信网络规划模型
引用本文:余斌,尹项根,吴小忠,汤吉鸿,宁春海,李辉,朱维钧,刘海峰,徐浩.输电线路在线监测的层次化通信网络规划模型[J].中国电力,2019,52(3):161-168.
作者姓名:余斌  尹项根  吴小忠  汤吉鸿  宁春海  李辉  朱维钧  刘海峰  徐浩
作者单位:1. 国网湖南省电力有限公司电力科学研究院, 湖南 长沙 410007;2. 电力安全与高效湖北省重点实验室(华中科技大学), 湖北 武汉 430074;3. 国网湖南省电力有限公司, 湖南 长沙 410000;4. 国网湖南省电力有限公司 邵阳供电分公司, 湖南 邵阳 422000
基金项目:国网湖南省电力有限公司科技项目(5216A5170012)。
摘    要:为解决输电线路在线监测系统中无线通信网络末端数据负担大、延时高的问题,满足网络的经济性和实时性要求,构建了基于无线传感器网络及光纤网络的在线监测层次化通信网络,并提出了网络多目标规划模型及优化决策方法。通过优化部署光纤分离引下点,以数据传输路径连通性和链路通信带宽为约束条件,建立了以通信网络建设成本和数据传输延时为目标的多目标最优化模型。采用多目标粒子群算法求得模型的最优解集,依据模糊熵权Vague集多属性决策方法,筛选出最满意的通信网络规划方案。基于模糊熵权的Vague集多属性决策方法,从最优解集中选取最满意的规划方案。最后,通过算例仿真验证了所提模型和算法的有效性,并分析了主观权重、数据速率及通信网络规模对规划布置方案决策的影响。

关 键 词:在线监测  通信网络  无线传感器网络  光纤分离  多目标优化  多属性决策  
收稿时间:2018-05-09
修稿时间:2018-12-07

A Planning Model for Hybrid Hierarchical Communication Network of Transmission Line Online Monitoring
YU Bin,YIN Xianggen,WU Xiaozhong,TANG Jihong,NING Chunhai,LI Hui,ZHU Weijun,LIU Haifeng,XU Hao.A Planning Model for Hybrid Hierarchical Communication Network of Transmission Line Online Monitoring[J].Electric Power,2019,52(3):161-168.
Authors:YU Bin  YIN Xianggen  WU Xiaozhong  TANG Jihong  NING Chunhai  LI Hui  ZHU Weijun  LIU Haifeng  XU Hao
Affiliation:1. State Grid Hunan Electric Power Company Limited Research Institute, Changsha 410007, China;2. Electric Power Security and High Efficiency Key Lab (Huazhong University of Science & Technology), Wuhan 430074, China;3. Hunan Electric Power Company Limited, Changsha 410000, China;4. Hunan Electric Power Company Limited Shaoyang Power Supply Company, Shaoyang 410000, China
Abstract:In order to solve the problems of bandwidth bottleneck and high latency in chain-type wireless communication network of transmission line online monitoring, a hybrid hierarchical communication network planning model and the corresponding multi-objective decision-making method are proposed. A network planning model of fiber-optic separation tower placement is formulated with objects of placement costs and end-to-end latency optimization, while satisfying the constraints of graph-based path connectivity and bandwidth. Particle swarm optimization algorithm is used to solve the model, so as to obtain the Pareto optimal solution set. The most satisfactory network planning scheme is selected by the multi-attribute decision-making method based on fuzzy entropy weight of vague set. Finally, the effectiveness of the proposed model and algorithm is validated by results of the case study. Besides, the impacts of the subjective weight, the data rate and network scale on the decision-making are analyzed.
Keywords:online monitoring  communication network  WSN  fiber-optic separation  multi-objective optimization  multi-attribute decision-making  
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