Shape simulation for a transmission line under different temperatures based on point cloud data

被引：0
|
作者：
Ma W. [1 ,2 ,3 ]
Wang C. [1 ,4 ]
Wang J. [1 ,2 ,3 ]
Ma Y. [5 ]
机构：
[1] College of Tourism and Geographic Sciences, Yunnan Normal University, Kunming
[2] Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming
[3] Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming
[4] Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, China Academy of Sciences, Beijing
[5] Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Air temperature; Cross validation; Overhead transmission line; Point cloud; Sag;
D O I：
10.19783/j.cnki.pspc.200873
中图分类号：
学科分类号：
摘要：
Air temperature is one of the main meteorological parameters that affect the electrical distance and mechanical strength of overhead transmission lines. Given the need for real-time operation state safety monitoring of overhead transmission lines, a method of spatial shape simulation and accuracy verification of the lines under environmental temperature changes is proposed. It is based on airborne LiDAR point cloud. First, the spatial model of a transmission line is constructed using point cloud, and the horizontal stress of the transmission line at the initial temperature is extracted. Then, the horizontal stress of the line under simulated temperatures is solved according to the state equation. Finally, the spatial shape simulation of a transmission line is realized according to the principle of static balance. A two-phase cross validation method of excitation point cloud is proposed to verify the reliability and accuracy of the simulation results. The typical point cloud data of transmission lines are selected for test. The results show that the method can well simulate the spatial shape of overhead transmission lines under any temperature change environment. The simulation error is 0.027, the average error is 0.066 m, and the maximum error is 0.471 m. The research provides reference value for airborne LiDAR power inspection and high voltage transmission line design. © 2021 Power System Protection and Control Press.
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页码：90 / 96
页数：6
相关论文
共 24 条
  • [1] CHANG Kang, XU Taishan, YU Chen, Et al., Discussion of power system operation risk control strategy in natural disasters, Power System Protection and Control, 47, 10, pp. 73-81, (2019)
  • [2] ZHU L, HYYPPA J., Fully-automated power line extraction from airborne laser scanning point clouds in forest areas, Remote Sensing, 6, pp. 11267-11282, (2014)
  • [3] ABBOUD A W, GENTLE J P, MCJUNKIN T R, Et al., Using computational fluid dynamics of wind simulations coupled with weather data to calculate dynamic line ratings, IEEE Transactions on Power Delivery, 35, 2, pp. 745-753, (2020)
  • [4] ZHANG R, YANG B, XIAO W, Et al., Automatic extraction of high-voltage power transmission objects from UAV Lidar point clouds, Remote Sensing, 11, 22, (2019)
  • [5] MA Weifeng, WANG Jinliang, WANG Cheng, Et al., Model residual realization of precise extraction and reconstruction of power line point cloud, Surveying and Mapping Science, 45, 2, pp. 60-66, (2020)
  • [6] SONG Xiaojun, QU Chuan, DU Yong, Et al., An automatic extraction algorithm of high voltage transmission lines from airborne LIDAR point cloud data, Turkish Journal of Electrical Engineering and Computer ENCES, 26, 4, pp. 2043-2055, (2018)
  • [7] MENSAH-BONS U, HEYD T., Overhead transmission conductor sag: a novel measurement technique and the relation of sag to real time circuit ratings, Electric Machines & Power Systems, 31, 1, pp. 61-69, (2003)
  • [8] AGGARWAL R K, JOHNS A T, JAYASINGHE J A S B, Et al., Overview of the condition monitoring of overhead lines, Electric Power Systems Research, 53, 1, pp. 15-22, (2000)
  • [9] AHMAD J, MALIK A S, ABDULLAH M F, Et al., A novel method for vegetation encroachment monitoring of transmission lines using a single 2D camera, Pattern Analysis and Applications, 18, 2, pp. 419-440, (2015)
  • [10] MATIKAINN L, LEHTOMAKI M, AHOKAS E, Et al., Remote sensing methods for power line corridor surveys, ISPRS Journal of Photogrammetry and Remote Sensing, 119, pp. 10-31, (2016)
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