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Record W2888084069 · doi:10.1109/tdc.2018.8440427

Dynamic Behaviour of VSC-HVDC Systems Under Different AC System Strengths

2018· article· en· W2888084069 on OpenAlexaff
S. Arunprasanth, R. Kuffel, U.D. Annakkage, C. Karawita

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsRTDS Technologies (Canada)
Fundersnot available
KeywordsControl theory (sociology)Controller (irrigation)Modular designTransient (computer programming)Voltage sourcePhase-locked loopComputer scienceStability (learning theory)High-voltage direct currentControl engineeringVoltageEngineeringControl (management)Direct current

Abstract

fetched live from OpenAlex

Operation of VSC with weak AC systems creates challenges such as ensuring stability after disturbances and proper selection of controller parameters, need to be addressed before physical implementations. This paper investigates the effect of controller parameters on the stability of a modular multilevel converter (MMC) VSC system. It was observed that d-q controller gains have greater influence on the stability compared to phase-locked loops (PLL) gains. It is demonstrated using time-domain simulation results obtained on the real-time digital simulator (RTDS) that a set of properly tuned controller gains could ensure small and large transient stabilities of the MMC-VSC system. Moreover, the negative effect of measurement delays in instantaneous currents and voltages is analyzed by performing small-signal stability assessment. The paper concludes with useful guidelines on selecting controller parameters for an MMC-VSC system connected to weak AC networks.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.587

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 head0.220
Teacher spread0.214 · 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 designSimulation or modeling
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

Citations2
Published2018
Admission routes1
Has abstractyes

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