Research on dynamic capacity enhancement of power cable based on built-in temperature measuring fiber
Authors: 
Hu Ran, Deng Shicong, Ye Wenzhong, Liu ZongxiAuthors Info & Claims
Hu Ran, Deng Shicong, Ye Wenzhong, Liu ZongxiAuthors Info & ClaimsPages 432 - 437
Abstract
In order to give full play to the current carrying capacity of cables with conservative design transmission capacity, we developed an intelligent power cable with built-in temperature measuring fiber for conductor. Based on the accurate measurement of cable conductor temperature, a new cable dynamic capacity enhancement technology was designed. The results show that the technology of the conductor built-in temperature measurement fiber realizes fast, accurate and reliable measurement of the realtime temperature of the cable conductor in operation, the complicated numerical calculation of the traditional cable heat path model is avoided and the conventional measurement error of the cable temperature is eliminated. According to the measured cable conductor temperature and current data, the mathematical relationship between the initial load current of the cable, the temperature and the increased capacity, and the temperature rise delay is built. A big data expert database and a dynamically increasing capacity model are formed. Based on the core criteria of dynamic capacity enhancement technology, different power capacity enhancement strategies and solutions for power cables are proposed to achieve regional power balance. The results of the dynamic capacity enhancement provide a safe and reliable reference for regional power dispatching and optimal operation of cable lines.
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- Research on dynamic capacity enhancement of power cable based on built-in temperature measuring fiber
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Published In
September 2019
803 pages
ISBN:9781450372985
DOI:10.1145/3366194
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Association for Computing Machinery
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Published: 20 September 2019
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RICAI 2019
RICAI 2019: 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
September 20 - 22, 2019
Shanghai, China
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RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
Overall Acceptance Rate 140 of 294 submissions, 48%
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