电气工程学报 ›› 2021, Vol. 16 ›› Issue (3): 161-169.doi: 10.11985/2021.03.022

• 高电压与绝缘技术 • 上一篇    下一篇

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基于WSN的输电线路状态监测与数据采集跨层优化方法*

宰红斌1(), 刘建国1(), 唐保国2(), 马建国1(), 上官明霞2(), 单荣荣3()   

  1. 1.国网晋城供电公司运维检修部 晋城 048000
    2.国网山西省电力公司 太原 030021
    3.国电南瑞科技股份有限公司 南京 211106
  • 收稿日期:2020-10-13 修回日期:2021-05-31 出版日期:2021-09-25 发布日期:2021-10-29
  • 作者简介:宰红斌,男,1971年生,高级工程师。主要从事输电线路防灾减灾,运行维护与带电作业等工作。E-mail: zhb272746@163.com
    刘建国,男,1969年生,高级工程师。主要从事电气工程及其自动化等工作。E-mail: liujianguo@sx.sgcc.com.cn
    唐保国,男,1972年生,正高级工程师。主要从事电力系统及其自动化等工作。E-mail: Tangbaoguo@sx.sgcc.com.cn
    马建国,男,1971年生,工程师。主要从事输电线路运检等工作。E-mail: 1974629825@qq.com
    上官明霞,女,1981年生,硕士,高级工程师。主要从事软件工程等 工作。E-mail: 8837493993@qq.com
    单荣荣,1986年生,硕士,工程师。主要从事电力物联网、电力系统自动化等工作。E-mail: srr834790730@163.com
  • 基金资助:
    * 国家重点研发计划资助项目(2018YFB0905000)

Cross Layer Optimization Method of Transmission Line Condition Monitoring and Data Acquisition Based on WSN

ZAI Hongbin1(), LIU Jianguo1(), TANG Baoguo2(), MA Jianguo1(), SHANGGUAN Mingxia2(), SHAN Rongrong3()   

  1. 1. State Grid Jincheng Power Supply Company, Jincheng 048000
    2. State Grid Shanxi Electric Power Company, Taiyuan 030021
    3. NARI Technology Development Co., Ltd., Nanjing 211106
  • Received:2020-10-13 Revised:2021-05-31 Online:2021-09-25 Published:2021-10-29

摘要:

针对高压输电线路状态监测的电晕噪声干扰、实时性低以及数据采集可靠性较低等服务质量问题,提出了一种基于无线传感器网络(Wireless sensor network, WSN)的跨层优化方法。首先根据输电线路容易产生电晕噪声的实际情况,设计了系统通信模型,并深入分析可靠性和延迟,在最大可靠性约束下,需要控制传输延迟以满足给定的时间限制。其次将寻找最佳传感器节点数的问题化为混合整数非线性规划,并通过链路自适应直接搜索(Link adaptive direct search, LADS)算法进行求解,以获得最优链路。最后利用基于量子蚁群的WSN路由算法,有效地实现最佳路由路径的全局寻优。仿真结果表明,所提方法相比于其他传统算法具有更低的传输延迟,并能够有效提升数据传输的可靠性,满足高压输电线路状态全方位监测的应用需求。

关键词: 输电线路, 电晕噪声, 无线传感器网络, 跨层优化, 服务质量

Abstract:

Aiming at the problems of corona noise interference, low real-time performance and low reliability of data acquisition, a cross layer optimization method based on wireless sensor network(WSN) is proposed. Firstly, according to the fact that the transmission line is easy to generate corona noise, the system communication model is designed, and the reliability and delay are analyzed deeply. Under the maximum reliability constraint, the transmission delay needs to be controlled to meet the given time limit. Secondly, the problem of finding the optimal number of sensor nodes is transformed into a mixed integer nonlinear programming, and the optimal link is obtained by the link adaptive direct search (LADS) algorithm. At last, the WSN routing algorithm based on quantum ant colony is used to realize the global optimization of the best routing path. Simulation results show that the proposed method has lower transmission delay compared with other traditional algorithms, and can effectively improve the reliability of data transmission, and can meet the application requirements of all-round state monitoring of high-voltage transmission lines.

Key words: Transmission line, corona noise, wireless sensor network, cross-layer optimization, quality of service

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