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Yang Zhao
Harbin University of Science and Technology

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Design on the HCB Based on IGCT and Neural Network Current Detection Yue Feng; Xiao-dong Wang; Yang Zhao; Yun-xia Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Nowaday,the traditional circuit breaker is which action slow, poor reliability, can not meet Large grid interconnection and flexible AC transmission requirements. To address those shortcomings of traditional circuit breaker,an idear is put forward that traditional mechanical circuit breaker combinates of power electronic switch-IGCT to build a new type of hybrid circuit breaker device (Hybrid Circuit Breaker shorted at HCB). Basing on natural converter circuit principles,when grid line failure,the novel device adopts Elman neural network to detect short-circuit fault current,can disconnect quickly by IGCT’s rapidity to ensure the safety of the power grid and improve switching speed and service life of the mechanical switch. It has a very important significance in fast switching of power system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3130
Co-Authors Xiao-dong Wang Yue Feng Yun-xia Jiang