期刊文献+

耐热导线在线监测系统设计与实现

Design and Implementation of Online Monitoring System for Heat-resist Wires
下载PDF
导出
摘要 辽宁经济的迅猛发展导致电网现有输电线路不能有效满足电力输送的要求,而建设新的输电线路走廊成本过高。经分析论证,决定在辽宁中部断面"卡脖子"的北耿线和李灯线改造中采用耐热导线替代普通导线。耐热导线在线监测系统的设计目的是实现对耐热导线运行数据的分析和采集,为耐热导线的研究工作积累分析数据。通过1年多的实际应用,系统完全满足设计需要,为国内耐热导线的研究工作提供了新的思路。 The fast development of Liaoning economy causes the incapability of the power transmission lines to satisfy the demand. However, the cost for constructing new power transmission lines is very high. After analysis, it is decided to use heat-resist wires instead of normal leads in the reconstruction of Beigeng Line and Lideng Line, which are the bottlenecks in the middle section of Liaoning power transmission lines. The online monitoring system for heat-resist wires aims to realize the data collection and analysis of heat-resist wires' operation, and to accumulate analysis data for the research of heat-resist wires. After one year's application, the system totally meets the design requirements, and provides new thoughts for domestic research of heat-resist wires.
机构地区 辽阳供电公司
出处 《电力信息化》 2011年第6期59-62,共4页 Electric Power Information Technology
关键词 耐热导线 传感技术 无线通信 远方监控 heat-resist wire sensing technology wireless communication remote monitoring
  • 相关文献

参考文献6

二级参考文献13

  • 1施泉生,杨予红.电力系统负荷预测的周期性可调灰色模型[J].上海电力学院学报,1996,0(1):42-47. 被引量:2
  • 2施泉生,奚辉龙.灰色自适应模型及在负荷短期预测中的应用[J].电力系统自动化,1993,17(2):16-18. 被引量:4
  • 3杨莳百,李杨絮,弋长青.提高短期负荷预报精度的研究及应用[J].电力系统自动化,1993,17(5):16-21. 被引量:9
  • 4施泉生.短期负荷预报模型库的研究及应用[J].系统工程理论与实践,1996,16(7):99-105. 被引量:16
  • 5Harrington R H. The effect of single addition metal on the recrystallization, electrical conductiveity and rupture strength of pure aluminum [C]. TRANS.ASM 41. 443,1949.
  • 6Ichiro Oogi, etc. Conductor for overhead transmission lines in Japan(Conductors-OPGW) [C]. Colloquium,CIGRE SC22. 1997 Sendai Meeting.
  • 7岳保良.耐热导线在线路增容中的应用[R].深圳供电规划设计院,2001..
  • 8Douglas M L C, Henry E W. Modeling the impact of summer temperatures on national electricity consumption. J. Appl. Metero., 1981, 20:1415~1419.
  • 9Quayle R G, Diaz H F. Heating degree day data applied to residential heating energy consumption. J. Appl. Meteor., 1980, 19:241~246.
  • 10Bakirtzis A G,Theocharis J B.Short Term Load Fovecasting Using Fuzzy Neural Networks.IEEE Trans on power systems. Augustinianum . 1995

共引文献71

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部