| 基于动态拉力与倾角的输电线路覆冰过程辨识与建模 |
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| 引用本文： | 张松海,施心陵,李鹏,李孙寸,蒋建波,董吉开,张国英,李柯润.基于动态拉力与倾角的输电线路覆冰过程辨识与建模[J].电力系统保护与控制,2016,44(9):57-61. |
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| 作者姓名： | 张松海 施心陵 李鹏 李孙寸 蒋建波 董吉开 张国英 李柯润 |
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| 作者单位： | 云南大学信息学院，云南 昆明 650500,云南大学信息学院，云南 昆明 650500,云南大学信息学院，云南 昆明 650500；云南电网有限责任公司电力科学研究院，云南 昆明 650217,云南大学信息学院，云南 昆明 650500,云南大学信息学院，云南 昆明 650500,云南大学信息学院，云南 昆明 650500,云南大学信息学院，云南 昆明 650500,云南大学信息学院，云南 昆明 650500 |
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| 基金项目： | 国家自然科学基金(61364024)；云南省科技计划应用基础研究(2014FB112); 云南大学“中青骨干教师”培养计划 |
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| 摘 要： | 输电线路覆冰会严重影响电网的安全稳定运行，因此准确地监测线路覆冰情况对电力系统的安全运行具有重要作用。针对目前基于动态拉力与倾角的架空输电线路覆冰力学模型对现场线路覆冰的监测还有一定误差，提出了以导线动态拉力、倾角为输入，等值覆冰厚度为输出的多输入单输出耐张塔覆冰监测模型。采用系统辨识的方法，利用便于工程实践的Matlab系统辨识工具箱辨识与建模出最终模型。研究表明，最终辨识得到的模型满足实际现场情况，能准确地监测输电线路的覆冰过程情况，并为线路覆冰监测提出了一种新思路。
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| 关 键 词： | 线路覆冰 系统辨识 耐张塔 系统辨识工具箱 监测模型 |
| 收稿时间： | 2015/6/26 0:00:00 |
| 修稿时间： | 2015/12/19 0:00:00 |
Identification and modeling of the power transmission line icing based on dynamic data of tension and angle |
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| ZHANG Songhai,SHI Xinling,LI Peng,LI Suncun,JIANG Jianbo,DONG Jikai,ZHANG Guoying and LI Kerun.Identification and modeling of the power transmission line icing based on dynamic data of tension and angle[J].Power System Protection and Control,2016,44(9):57-61. |
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| Authors: | ZHANG Songhai SHI Xinling LI Peng LI Suncun JIANG Jianbo DONG Jikai ZHANG Guoying and LI Kerun |
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| Affiliation: | School of Information Science and Engineering, Yunnan University, Kunming 650500, China,School of Information Science and Engineering, Yunnan University, Kunming 650500, China,School of Information Science and Engineering, Yunnan University, Kunming 650500, China; Electric Power Research Institute, Yunnan Power Research & Test Institute (Group) Corp, Kunming 650217, China,School of Information Science and Engineering, Yunnan University, Kunming 650500, China,School of Information Science and Engineering, Yunnan University, Kunming 650500, China,School of Information Science and Engineering, Yunnan University, Kunming 650500, China,School of Information Science and Engineering, Yunnan University, Kunming 650500, China and School of Information Science and Engineering, Yunnan University, Kunming 650500, China |
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| Abstract: | Power transmission line icing has harmful effects to the safety and stability of power grids, so monitoring the icing process is very important for power grids system operation. At present, the icing process mechanical model based on dynamic data of tension and angle has some errors when it is actually applied in monitoring system. According to this problem, this paper proposes an icing monitoring model of strain tower with multiple input and single output. It uses dynamic tension and angle data as the input, and the equivalent icing thickness as output. In order to identify the final model and calculate conveniently, the traditional system identification method is used by Matlab System Identification Toolbox. Simulation results show that the final icing model is able to estimate the icing thickness accurately in the field condition and provides a novel method for monitoring the power transmission line. |
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| Keywords: | transmission line icing system identification strain tower system identification toolbox monitoring models |
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