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Record W4392902477 · doi:10.1109/jestpe.2024.3378350

Bipolar Semiactive Bridge Converter With Cross-Cycle Modulation for Resilience Enhancement in Bipolar DC Distribution Systems

2024· article· en· W4392902477 on OpenAlex
Y. Chen, Jianjun Ma, Miao Zhu, Yunwei Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Journal of Emerging and Selected Topics in Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsModulation (music)Electrical engineeringResilience (materials science)ConvertersBridge (graph theory)Electronic engineeringPhysicsEngineeringVoltage

Abstract

fetched live from OpenAlex

In a bipolar DC distribution system, a monopolar fault can result in a power outage for the load connected to the faulted pole. To provide a resilient load supply, a bipolar semi-active bridge (BiSAB) converter is proposed in this paper as an interface converter. With the proposed BiSAB converter, the monopolar short-circuit fault can be blocked from the load, and uninterrupted power can be drawn from the normal pole. During normal bipolar operation, the BiSAB converter can also provide power regulation capability between the positive and negative poles. Moreover, the cross-cycle modulation strategy is proposed and implemented on the BiSAB to improve the efficiency in the normal bipolar mode. The characteristics and fault-tolerant function of the proposed converter and modulation strategy are verified by experiment, and the resilient load supply capability of the BiSAB is validated.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.254
Teacher spread0.248 · 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