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分布式高压输电线温度监测

Distributed Thermal Monitoring of High-Voltage Power Lines.

机构信息

Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.

出版信息

Sensors (Basel). 2023 Feb 21;23(5):2400. doi: 10.3390/s23052400.

DOI:10.3390/s23052400
PMID:36904603
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10007148/
Abstract

The purpose of this paper is to present the sensor placement strategies that currently determine the thermal monitoring of the phase conductors of high-voltage power lines. In addition to reviewing the international literature, a new sensor placement concept is presented based on a strategy centered on the following question: What are the chances of thermal overload if devices are only placed in certain tension sections? In this new concept, the number and installation location of the sensors are determined in three steps, and a new type of tension-section-ranking constant is introduced that is universal in space and time. The simulations based on this new concept show that the data-sampling frequency and the type of thermal constraint influence the number of sensors. The paper's main finding is that there are cases when only a distributed sensor placement strategy can result in safe and reliable operation. However, due to requiring a large number of sensors, this solution means additional expenses. In the last section, the paper presents different possibilities to reduce costs and introduces the concept of low-cost sensor applications. These devices can result in more flexible network operation and more reliable systems in the future.

摘要

本文旨在介绍目前用于高压输电线相导线温度监测的传感器布置策略。除了回顾国际文献外,本文还提出了一种基于以下问题的新的传感器布置概念:如果仅在某些张力段中放置设备,发生热过载的可能性有多大?在这个新概念中,传感器的数量和安装位置通过三个步骤确定,并引入了一种新的、在空间和时间上通用的张力段排序常数。基于这个新概念的模拟表明,数据采样频率和热约束类型会影响传感器的数量。本文的主要发现是,在某些情况下,只有分布式传感器布置策略才能实现安全可靠的运行。然而,由于需要大量的传感器,这种解决方案意味着额外的费用。在最后一节中,本文提出了降低成本的不同可能性,并介绍了低成本传感器应用的概念。这些设备将来可以实现更灵活的网络操作和更可靠的系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/8b014ddebe58/sensors-23-02400-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/5fc89c6823a1/sensors-23-02400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/ddc4ea69e46f/sensors-23-02400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/0a71144cd71e/sensors-23-02400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/a8bb47f7467e/sensors-23-02400-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/dd3f182a7d54/sensors-23-02400-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/ac2bb649a026/sensors-23-02400-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/157972f13df1/sensors-23-02400-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/8b014ddebe58/sensors-23-02400-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/5fc89c6823a1/sensors-23-02400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/ddc4ea69e46f/sensors-23-02400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/0a71144cd71e/sensors-23-02400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/a8bb47f7467e/sensors-23-02400-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/dd3f182a7d54/sensors-23-02400-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/ac2bb649a026/sensors-23-02400-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/157972f13df1/sensors-23-02400-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cec/10007148/8b014ddebe58/sensors-23-02400-g008.jpg

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