中国电力 ›› 2014, Vol. 47 ›› Issue (5): 1-5.DOI: 10.11930/j.issn.1004-9649.2014.5.1.4

• 电力安全专栏 •    下一篇

高电压电缆接头温度预警系统设计

滕志军1, 何鑫1, 李国强1, 杜娜1, 高扬2   

  1. 1. 东北电力大学 信息工程学院,吉林 吉林 132012;
    2. 重庆大唐国际 武隆水电开发有限公司,重庆 408506
  • 收稿日期:2014-01-24 出版日期:2014-05-31 发布日期:2015-12-21
  • 作者简介:滕志军(1973-),男,吉林省吉林市人,教授,博士,从事无线通信技术、智能电网研究。E-mail: tengzhijun@163.com
  • 基金资助:
    国家自然科学基金资助项目(51077010)

Design of Temperature Early-Warning System for High Voltage Cable Connectors

TENG Zhi-jun1, HE Xin1, LI Guo-qiang1, DU Na1, GAO Yang2   

  1. 1. College of Information Engineering, Northeast Dianli University, Jilin 132012, China;
    2. Chongqing Datang International Wulong Hydropower Development Co., Ltd., Chongqing 408506, China
  • Received:2014-01-24 Online:2014-05-31 Published:2015-12-21
  • Supported by:
    This work is supported by National Natural Science Foundation of China (51077010)

摘要: 高电压电缆接头温度预警系统对保障输配电线路的安全运行起着重要作用。根据高电压电缆接头的实际布局,以ZigBee网络为预警系统物理层,负责高电压电缆接头温度的采集;以电力光纤为传输层,实现温度数据的远程可靠传输,为高电压电缆接头设计了分层次的分布式温度监测系统,并采用人工神经网络方法对10 kV高电压电缆三相测点进行了预测,实现了高电压电缆接头的温度预警。该系统可靠性高、扩展性强、温度预测误差小,适合于电力部门的在线监测。

关键词: ZigBee网络, BP神经网络, 高电压电缆接头, 温度, 预警

Abstract: Temperature warning system for high voltage cable connectors plays an important role in protecting the safety of the transmission and distribution line operation. According to the actual layout of the high voltage cable connectors, the physical layer of the early-warning system of ZigBee network is responsible for the acquisition of the temperature of high voltage cable connectors. While the transport layer based on power fibers is in charge of the remote and reliable transmission of temperature data. Thus, a hierarchical-distributed temperature monitoring system for high voltage cable connectors was designed, which adopts ANN to measure the temperature of three-phase high voltage cables at some points, and achieves the temperature warning. The system has high reliability, scalability, and small temperature prediction error, which is suitable for on-line monitoring of the power sector.

Key words: ZigBee network, BP neural network, high voltage cable connector, temperature measurement, early-warning

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