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基于微气象监测的输电线路覆冰动态过程估计模型
引用本文:庄文兵,祁创,王建,于龙,张清川,熊小伏,刘泽青. 基于微气象监测的输电线路覆冰动态过程估计模型[J]. 电力系统保护与控制, 2019, 47(14): 87-94
作者姓名:庄文兵  祁创  王建  于龙  张清川  熊小伏  刘泽青
作者单位:国网新疆电力有限公司电力科学研究院,新疆 乌鲁木齐,830010;输配电装备及系统安全与新技术 国家重点实验室(重庆大学),重庆,400044;新疆送变电有限公司,新疆 乌鲁木齐,830002
基金项目:国家自然科学基金项目(51707018);中国博士后科学基金项目(2017M612907);国网新疆电力有限公司科技项目(5230DK16001P)
摘    要:导线覆冰与脱冰跳跃威胁输电线路的安全运行,因此实现线路覆冰增长与脱冰跳跃动态过程实时趋势估计,对运维检修决策有很大意义。在现有覆冰增长与脱冰跳跃的影响因素研究基础上,提出了基于微气象监测数据的输电线路覆冰及脱冰跳跃发展趋势多时间尺度动态估计模型。以新疆电网某线路运行记录为例进行了建模分析,所提模型与实际运行结果及其他方法对比测试表明,该方法可较好地估计输电线路覆冰增长及脱冰跳跃过程,实用性强,可用于输电线路覆冰及脱冰跳跃监测、越限告警,作为电网调度运行及线路运维检修决策的参考。

关 键 词:输电线路  覆冰增长  脱冰跳跃  微气象  状态估计
收稿时间:2018-08-08
修稿时间:2018-10-31

Dynamic ice process estimation model of transmission line based on micrometeorological monitoring
ZHUANG Wenbing,QI Chuang,WANG Jian,YU Long,ZHANG Qingchuan,XIONG Xiaofu and LIU Zeqing. Dynamic ice process estimation model of transmission line based on micrometeorological monitoring[J]. Power System Protection and Control, 2019, 47(14): 87-94
Authors:ZHUANG Wenbing  QI Chuang  WANG Jian  YU Long  ZHANG Qingchuan  XIONG Xiaofu  LIU Zeqing
Affiliation:Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830010, China,State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing 400044, China,State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing 400044, China,Xinjiang Transmission Power Co., Ltd., Urumqi 830002, China,Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830010, China,State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing 400044, China and State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing 400044, China
Abstract:Conductor ice and ice shedding have harmful effects on the safety operation of transmission line, so real-time estimating the dynamic process of icing-growth and icing-shedding for transmission line is important for operation and maintenance decision. On the basis of influence factors analysis of ice growth and ice shedding, this paper proposes a multi-time scale estimation model of dynamic process of ice growth and ice shedding for transmission line based on the micrometeorological monitoring data. The monitoring records of a transmission line of Xinjiang power grid are taken as example for model establishing, the comparison of the test example and the real operation results and other methods indicate that the proposed method can well estimate the dynamic process of ice growth and ice shedding for transmission line. It is very practical and can be applied to the monitoring and warning systems of ice growth and ice shedding, which provides guide to the power system operation dispatching and transmission line maintenance decision. This work is supported by National Natural Science Foundation of China (No. 51707018), China Postdoctoral Science Foundation (No. 2017M612907), and Science and Technology Project of State Grid Xinjiang Electric Power Co., Ltd. (No. 5230DK16001P).
Keywords:transmission line   ice growth   ice shedding   micrometeorology   condition estimation
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