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Record W4406117313 · doi:10.1109/tpel.2024.3511472

A Thyristor-Based Solid-State DC Circuit Breaker With a Three-Winding Coupled Inductor

2025· article· en· W4406117313 on OpenAlexaff
Shunliang Wang, Ming Li, Kejun Qin, Qinming Xin, Junpeng Ma, Nie Hou, Tianqi Liu

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2025
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThyristorCircuit breakerInductorElectrical engineeringIntegrated gate-commutated thyristorMOS-controlled thyristorElectronic engineeringEngineeringVoltage

Abstract

fetched live from OpenAlex

Thyristor-based solid-state circuit breakers (TCBs) have become a popular protection solution for DC microgrids, due to their low construction cost, high efficiency, and fast response time. Despite numerous TCBs being proposed, the majority of them still suffer from low controllability, low current interrupting reliability, slow fault isolation, poor reclosing protection, and high conduction loss. Inspired by these issues, a novel TCB with a three-winding coupled inductor is proposed in this paper. First, it could interrupt both operating and fault currents actively and reliably with its bidirectional symmetric construction, ensuring high controllability and reliability. Second, during the current interrupting process, the arrester immediately works after the proposed TCB acts, which makes the fault currents at both source and load sides drop, thus effectively suppressing the fault currents. Third, the capacitor and thyristors in the triggering circuits can automatically restore to their initial states after interrupting the current, thus ensuring a reclosing protection function with no extra operation sequences. Fourth, since the conducting branch only contains one set of parallel thyristors and an inductor coil, the conduction loss of the proposed TCB is low, thus ensuring effectiveness. The working principles, design guidelines, and experimental results are presented. The advantages of the proposed TCB are further demonstrated through comparison with some existing schemes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.215
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2025
Admission routes1
Has abstractyes

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Same venueIEEE Transactions on Power ElectronicsSame topicHVDC Systems and Fault ProtectionFrench-language works237,207