Transactions of China Electrotechnical Society  2019, Vol. 34 Issue (9): 1789-1797    DOI: 10.19595/j.cnki.1000-6753.tces.180580
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Uncertainty Quantification of Response of Buried Pipeline to High-Altitude Electromagnetic Pulse
Liu Qing1, 2, Wang Chendong2, Li Zhanyu3, Wang Yinglan2
1. State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China;
2. College of Electrical and Control Engineering Xi’an University of Science and Technology Xi’an 710054 China;
3. Northwest Electric Power Design Institute Co. Ltd China Power Engineering Consulting Group Xi’an 710075 China;

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Abstract  High-altitude electromagnetic pulse (HEMP) can induce current and voltage on buried oil/gas pipelines, which may affect the monitoring devices and cathodic protection systems of oil and gas pipelines. In the calculation of the coupling response, it is necessary to consider the uncertainty of the response caused by the variation of the input parameters. The computational efficiency of the traditional Monte Carlo method will decrease with the increase of the sample size. Based on stochastic collocation method (SC) and stochastic reduced order models (SROM) method, the uncertainty quantification calculation model of current and voltage response of buried pipeline have been established in this paper. For the Bell Lab waveform of HEMP, taking incident angle and incident azimuth as random input variables, the statistical information of response current and voltage of buried pipeline has been calculated. Taking the calculation results of Monte Carlo method as reference, the accuracy and computational efficiency of the SC and SROM method have been compared. Finally, based on the SC method, the sensitivity of the response current to the input parameters has been analyzed. The results of the study can provide relevant reference for the uncertainty quantification of buried pipelines.
Key wordsHigh-altitude electromagnetic pulse (HEMP)      oil/gas pipelines      stochastic collocation method      stochastic reduced order models      sensitivity     
Received: 11 April 2018      Published: 14 May 2019
PACS: TM15  
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Liu Qing
Wang Chendong
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Wang Yinglan
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Liu Qing,Wang Chendong,Li Zhanyu等. Uncertainty Quantification of Response of Buried Pipeline to High-Altitude Electromagnetic Pulse[J]. Transactions of China Electrotechnical Society, 2019, 34(9): 1789-1797.
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