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Record W4394862950 · doi:10.1109/tpwrd.2024.3388892

An Investigation of Frequency and Electromagnetic Transient Responses on a VSC-HVDC Cable Network

2024· article· en· W4394862950 on OpenAlexaff
Haoyan Xue, Jean Mahseredjian, Jesús Morales, Hani Saad, S. Dennetière, Tao Xue

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2024
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTransient (computer programming)Transient analysisElectrical engineeringEmtpEngineeringTransient responseElectronic engineeringElectric power systemComputer sciencePhysicsPower (physics)

Abstract

fetched live from OpenAlex

This paper presents a study on a ±320 kV voltage source converter (VSC)-based high-voltage direct current (HVDC) cable system. The typical topology of Modular Multilevel Converter (MMC) is used in the modeling of VSCs. The evaluation of DC cable parameters is based on the classical method (CM) and recently proposed new Line/Cable-Data (LCD) module in an existing EMT-type simulation tool. The current transformation matrix, propagation constant and absolute value of input impedance on DC cable in frequency and modal domains are calculated and investigated. Moreover, transient simulations of the ±320 kV VSC-HVDC cable system are studied. The influences of various methods, bundle configurations, length and grounding resistances of the DC cable on transient simulations are made clear. The new findings in this paper can serve as new references for EMT simulation for future cable dominated VSC-HVDC power systems.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.659

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

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