基于无线通信的智能分布式馈线自动化技术
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TM761

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国家重点研发计划资助项目(2018YFB2100100)


Intelligent distributed FA technology based on wireless communication
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    摘要:

    由于智能分布式馈线自动化(FA)的对等式通信对通信介质有着严苛的要求,目前主要采用基于以太网无源光网络(EPON)或工业以太网技术的光纤通信方式。该通信方式需要铺设费用昂贵的光缆通道,因此难以适用于老城区或旧线路改造区域。文中通过研究智能分布式FA故障处理过程和无线通信情况下智能分布式FA的自适应性,提出基于4G/5G无线通信的智能分布式FA技术。针对通信过程中可能出现通信中断、通信延时与丢包、通信多包等异常情况,采用应用层协议控制与故障处理流程相结合的方法,实现终端之间通信时间指标与FA过程的严密配合,完成无线通信情况下的分布式故障处理。通过模拟多场景测试和现场应用情况,表明文中算法能够适应不同的无线通信条件并准确完成故障隔离与非故障区域的恢复,验证了文中基于无线通信的智能分布式FA技术的有效性。

    Abstract:

    Due to its tough demands of communication medium for the equivalent communication of intelligent distributed feeder automation (FA), it mainly adopts the optical fiber communication mode based on ethernet passive optical network (EPON) or industrial Ethernet technology. This communication mode requires the laying of expensive fiber optic cable channels, so it is difficult to apply in the old town or line transformation area. By studying the process of intelligent distributed FA fault management and the adaptability of intelligent distributed FA in the wireless communication situation, this paper puts forward an intelligent distributed FA technology based on 4G/5G wireless communication. The method of combining application-layer protocol control with fault handling process is adopted to realize the close cooperation between the communication time index and FA process among terminals. For abnormal situations such as communication interruption, communication delay and packet loss, communication multi-pack. It comples the distributed fault treatment under wireless communication. Through the simulation of the multi-scene test and application in Jinhua, Zhejiang province, it is shown that the proposed algorithm adapts to different conditions of wireless communication and accurately completes fault isolation and non-failure areas recovery. The effectiveness of intelligent distributed FA technology based on wireless communication is verified.

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钱肖,温彦军,张文杰,沃建栋,黄亮亮.基于无线通信的智能分布式馈线自动化技术[J].电力工程技术,2021,40(3):135-140

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  • 收稿日期:2020-11-13
  • 最后修改日期:2020-12-21
  • 录用日期:2021-01-28
  • 在线发布日期: 2021-06-11
  • 出版日期: 2021-05-28
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