Journal article
A New Approach to Model Reverse Recovery Process of a Thyristor for HVdc Circuit Breaker Testing
IEEE transactions on power electronics, v 36(2), pp 1591-1601
Feb 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In the HVdc circuit breaker testing process, a thyristor is used to generate high current for the testing purpose. However, the reverse recovery process (RRP) of a thyristor can induce a significant overvoltage problem, which jeopardizes the reliable operation. It is important to model the RRP of a thyristor. The existing modeling methods usually omit the stray inductances in the circuit, which cannot describe the hard-switching process accurately. Therefore, this article proposes a novel method to model the RRP, considering the stray inductances. There are mainly three original contributions. First, the physical mechanism of the RRP is analyzed, describing the internal charge behavior and dividing the RRP into two stages. Second, this article provides a novel trigonometric exponential (TE) model of the thyristor voltage and current with analytical equations. Third, the extraction method of model parameters is also provided based on external circuit parameters and thyristor characteristics. In order to verify the proposed modeling method, a 1 kV/830 A IGBT-based circuit breaker is implemented with a thyristor to initialize the current. The experimental results show that the negative peak voltage induced by the RRP is as high as 4.26 kV, and the proposed TE model can precisely predict the overvoltage with a relative error of 7.51%.
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Details
- Title
- A New Approach to Model Reverse Recovery Process of a Thyristor for HVdc Circuit Breaker Testing
- Creators
- Zhonghao Dongye - North China Electric Power UniversityLei Qi - North China Electric Power UniversityXiang Cui - North China Electric Power UniversityPeng Qiu - Polytechnic Institute of Zhejiang University, Hangzhou, ChinaFei Lu - Drexel University
- Publication Details
- IEEE transactions on power electronics, v 36(2), pp 1591-1601
- Publisher
- IEEE
- Grant note
- 52110418003F / Science and Technology Project of SGCC
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000574748200039
- Scopus ID
- 2-s2.0-85092580749
- Other Identifier
- 991019168133504721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic