Study on Multi-parameter Intelligent Sensing Technology for Transformer Oil-paper Bushing
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Study on Multi-parameter Intelligent Sensing Technology for Transformer Oil-paper Bushing
Vol. 46, Issue 6, Pages: 1903-1912(2020)
作者机构:
1. 西安交通大学电气工程学院电力设备电气绝缘国家重点实验室
2. 国网陕西省电力公司电力科学研究院
作者简介:
基金信息:
DOI:
CLC:
Published Online:30 June 2020,
Published:2020
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MU Haibao, ZHAO Haoxiang, ZHANG Daning, et al. Study on Multi-parameter Intelligent Sensing Technology for Transformer Oil-paper Bushing[J]. 2020, 46(6): 1903-1912.
DOI:
MU Haibao, ZHAO Haoxiang, ZHANG Daning, et al. Study on Multi-parameter Intelligent Sensing Technology for Transformer Oil-paper Bushing[J]. 2020, 46(6): 1903-1912.DOI:
Study on Multi-parameter Intelligent Sensing Technology for Transformer Oil-paper Bushing
power failures caused by transformer bushing faults directly affect the stable operation of a power grid. How to effectively diagnose bushing faults and realize early warning becomes an important issue to be solved urgently in bushing maintenance. In this paper
a multi-parameter intelligent sensing method for bushings is proposed. A dielectric loss/capacitance/partial discharge integrated wide-frequency sensor is designed
which is suitable for field applications. A new hydrogen/temperature/pressure integrated sensor is designed too. The signals from the sensors are obtained by a low-power multi-channel signal acquisition unit
which can digitize analog signals on site. The optical fibers are used to achieve multi-channel synchronous triggering and high-speed communication
suppressing interference in analog signal transmission. The analysis method based on the vector is proposed and a network-based diagnosis system is realized
which has data fusion and remote alarm function. This paper provides a reference idea for the development of bushing with intelligent operation and maintenance.