The high voltage thyristor is widely used in high voltage DC (HVDC) grids due to its large current capability. Recently, the high voltage thyristor is implemented to produce a high current in the HVDC circuit breaker (CB) testing process. Unfortunately, the reverse recovery process (RRP) of a thyristor could induce significant turn-off overvoltage and power losses, jeopardizing the safety of the devices. The existing models of a thyristor cannot describe such hard-switching transient accurately. Therefore, this paper divides this process into four stages based on the physical mechanism and proposes a novel cosine exponential (CE), simulating the voltage and current of the thyristor with analytical equations, which are derived from the equivalent circuit. Moreover, the extraction procedure of the proposed model is illustrated in this paper. Finally, we develop an HVDC CB test platform to validate the proposed model. Experimental results show that the proposed CE model can accurately predict the overvoltage with a relative error of less than 8% at various current varying rates.
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Title
A Novel Model of Thyristor in Reverse Recovery Process for Current Interruption Test of HVDC Circuit Breakers
Creators
Zhonghao Dongye - North China Elect Power Univ, Beijing, Peoples R China
Lei Qi - North China Elect Power Univ, Beijing, Peoples R China
Xiang Cui - North China Elect Power Univ, Beijing, Peoples R China
Xianshan Guo - State Grid Corp China, Beijing, Peoples R China
Hua Zhang - Drexel University
Sheng Zheng - Oak Ridge Natl Lab, Oak Ridge, TN USA
IEEE Transportation Electrification Conference and Expo (ITEC) (Virtual, 23 Jun 2020–26 Jun 2020)
Publisher
IEEE
Number of pages
5
Grant note
SGTYHT/17-JS-199 / Science and Technology Project of SGCC
DE-AR0001114 / Advanced Research Projects Agency Energy (ARPA-E), U.S. Department of Energy; United States Department of Energy (DOE)
Resource Type
Conference proceeding
Language
English
Academic Unit
Electrical and Computer Engineering
Web of Science ID
WOS:000620344100145
Scopus ID
2-s2.0-85096540825
Other Identifier
991019170330204721
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