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Analysis of Pole-to-Pole Faults in Half-Bridge and Full-Bridge MMCs

2021· article· en· W3214964668 on OpenAlexaff
Ramin Parvari, Xianghua Shi, Shaahin Filizadeh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsRTDS Technologies (Canada)University of Manitoba
Fundersnot available
KeywordsConvertersModular designBridge (graph theory)Fault (geology)Electronic circuitVoltageEngineeringTransmission systemHalf bridgeTopology (electrical circuits)Electronic engineeringComputer scienceElectrical engineeringControl theory (sociology)CapacitorTransmission (telecommunications)Control (management)

Abstract

fetched live from OpenAlex

Pole-to-Pole (PTP) faults are considered as the most severe type of faults that may occur on the DC side of Modular Multilevel Converters (MMCs) in High Voltage Direct Current (HVDC) transmission systems. It is indispensable to study this type of fault to understand its characteristics that enable design of respective protection systems. This paper analyzes PTP faults in MMCs with common Half-Bridge (HB) and Full-Bridge (FB) submodule structures. Dividing the duration of the fault into two stages, the paper presents equivalent circuits for both the DC and AC sides of the converter for each stage. A simulation case study with a 101-level MMC is carried out in the PSCAD/EMTDC simulator for both HBSM and FBSM MMCs. The results confirm the validity of the presented equivalent circuits.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.242
Teacher spread0.228 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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