Key State Parameters and Relevant Monitoring Methods of Fiber Optical Current Transformer
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Key State Parameters and Relevant Monitoring Methods of Fiber Optical Current Transformer
Vol. 42, Issue 12, Pages: 4026-4032(2016)
作者机构:
1. 中国电力科学研究院
2. 北京世维通科技发展有限公司
作者简介:
基金信息:
DOI:
CLC:
Published Online:31 December 2016,
Published:2016
稿件说明:
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HU Bei, YE Guoxiong, XIAO Hao, et al. Key State Parameters and Relevant Monitoring Methods of Fiber Optical Current Transformer[J]. 2016, 42(12): 4026-4032.
DOI:
HU Bei, YE Guoxiong, XIAO Hao, et al. Key State Parameters and Relevant Monitoring Methods of Fiber Optical Current Transformer[J]. 2016, 42(12): 4026-4032.DOI:
Key State Parameters and Relevant Monitoring Methods of Fiber Optical Current Transformer
Fiber optical current transformer(FOCT) can be influenced by a variety of external factors(such as ambient temperature
vibration
shock
electromagnetic interference
etc.) and internal factors(such as degradation of optoelectronic devices
increase of optical loss
etc.) in the field operation process
and these factors cause the change of internal key state parameters in FOCT
thus reduce the accuracy and reliability of the product. To solve this problem
we proposed five key state parameters of FOCT
namely
junction temperature of SLDs
transmitting optical power of SLD
half-wave voltage of phase modulator
working temperature of fiber sensing coil
and the received optical power of photo detector. Analyzing the experimental results of these parameters
we quantitatively proposed the impact of the key state parameters on FOCT accuracy for the first time.Furthermore
we put forward the methods for monitoring and controlling each key state parameters respectively with experimental verification. The test results show that the ratio error and phase error of the FOCT product by state monitoring is lower than 0.1% and 3′
respectively
over a temperature range of-40 ℃
7
0 ℃. The results provide a technical guidance for the key parameter design and performance optimization of FOCT products
supplys basic model and data support for the inline monitoring and early warning to FOCT operation state
which will be helpful to improving the stability and reliability of FOCT products in long-term operation.