变电站物联网系统的无线取电供电方法
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彭桂喜(1983-),男,硕士,高级工程师,主要从事继电保护研究;E-mail:gdhuran@126.com

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TM863

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国网天津市电力公司科技项目(SGTJBH00YJXX1903437)


Research on wireless power supply method of internet of things system in substations
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    摘要:

    传感器的供电维护阻碍了物联网系统在变电站的应用发展。提出一种基于无线传输的变电站物联网系统供电方法,以实现物联网系统的自持运行。首先,建立能量采集和分配模型,分析信号传输模型,利用CSMA协议对时隙共享信道上与电源节点通信进行信号传输,有效降低了多节点无线供电信道竞争问题。其次,对传感器能量演变进行分析,设计出2种传感器能量供给方案,其中次优方案给每个节点固定分配功率,以较低的性能换取较简单的实现,另一种方案是动态调整分配的功率,为每个节点提供最大功率,得出最佳能量分配比,旨在提升系统的无线供电效率。最后,建立10节点仿真模型,验证所提出方法的有效性。结果表明,文章所提方法可以实现变电站物联网系统的自我维持。

    Abstract:

    The power supply maintenance of sensors will hinder the application and development of the IoT (internet of things) system in substations. To handle it, this paper proposes a new power supply method for the IoT system in substations based on the wireless transmission to realize itsself-sustaining operations. Firstly, the energy acquisition and distribution model is established, the signal transmission model is analyzed, and the CSMA protocol is used to transmit signals on the time-slot shared channel to communicate with the power supply nodes, which can effectively reduce the multi-node wireless power supply channel competition. Secondly, the evolution of sensor energy is analyzed, and two sensor energy supply schemes are designed. Among them, the sub-optimal scheme assigns power to each node fixedly to achieve simpler implementation rather than performance.The other scheme will dynamically adjust the allocation, to provide the maximum power for each node, and get the best energy distribution ratio which can improve the wireless power supply efficiency of the system. Finally, a 10-node simulation model is established to verify the effectiveness of the proposed method. The results show that the method proposed in this paper can realize the self-sustaining of the substation IoT system.

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彭桂喜,吴玉龙,袁思遥,等.变电站物联网系统的无线取电供电方法[J].电力科学与技术学报,2022,37(3):181-189.
PENG Guixi, WU Yulong, YUAN Siyao, et al. Research on wireless power supply method of internet of things system in substations[J]. Journal of Electric Power Science and Technology,2022,37(3):181-189.

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  • 在线发布日期: 2022-07-24
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