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Writing Bragg Gratings in Multicore Fibers
Published on: April 20, 2016
A Fiber Bragg Grating-Based Dynamic Tension Detection System for Overhead Transmission Line Galloping
Guo-Ming Ma1, Ya-Bo Li2, Nai-Qiang Mao3
1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China. ncepumgm@ncepu.edu.cn.
A new optical remote passive system effectively monitors overhead transmission line (OHTL) galloping, overcoming limitations of traditional sensors. This innovation enhances safety and reliability in power infrastructure monitoring.
Area of Science:
- Electrical Engineering
- Mechanical Engineering
- Materials Science
Background:
- Galloping of overhead transmission lines (OHTLs) poses risks like conductor breakage and tower collapse.
- Existing monitoring systems suffer from electromagnetic interference, onsite power requirements, and short lifespans.
Purpose of the Study:
- To introduce a novel optical remote passive measuring system for on-line OHTL galloping detection.
- To address limitations of conventional monitoring systems, enhancing long-distance distribution capabilities.
Main Methods:
- Development of an 'S' type elastic element structure with flanges to improve tension sensing and dynamic response range.
- Conducting tension experiments to evaluate dynamic response characteristics and long-term stability (30 min continuous stretching).
- Testing the sensor's dynamic performance on a 70 m conductor model oscillated at various frequencies.
Main Results:
- The proposed sensor demonstrates suitability for OHTL galloping detection.
- Experimental results validate the sensor's dynamic response and long-term stability.
- The system shows promise for effective OHTL galloping monitoring.
Conclusions:
- The novel optical remote passive system offers a superior alternative for OHTL galloping monitoring.
- Advantages include easy installation, no flashover risk, distributed monitoring, better bandwidth, improved accuracy, and higher reliability compared to conventional sensors.
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