MétaCan
Menu
Back to cohort
Record W4367171929 · doi:10.18280/mmep.100206

Fault Analysis of Three Level VSC-HVDC Connected Offshore Wind

2023· article· en· W4367171929 on OpenAlexvenueno aff
Khadidja Chenna, Kaci Ghedamsi

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsnot available
FundersDirection Générale de la Recherche Scientifique et du Développement Technologique
KeywordsOffshore wind powerInsulated-gate bipolar transistorHigh-voltage direct currentVoltage sourceWind powerEngineeringFault (geology)InverterRectifier (neural networks)Transmission systemElectrical engineeringVoltageControl theory (sociology)Direct currentComputer scienceTransmission (telecommunications)Control (management)

Abstract

fetched live from OpenAlex

High-voltage direct current (HVDC) system is widely used for long-distance bulkpower transmission due to its high economic efficiency.VSC-HVDC systems are being increasingly employed in the power systems.This paper addresses the analysis, fault of three level VSC HVDC connected offshore wind.Where wind energy can be very effectively used and is currently widely used worldwide.The onshore VSC-HVDC system is based on a three-level voltage converter topology that is used to interconnect an offshore wind farm (OWF) with the ac main grid via two dc cables.The VSC consists three-phase insulated-gate bipolar transistor (IGBT) based rectifier, a three-phase IGBT based inverter.The modeling of dc bus voltage of inverter is developed via the Voltage Oriented Control (VOC) strategy.AC fault three-lines to ground and line to ground, DC fault with pole-to-ground type on DC transmission lines are mainly considered and analyzed.The system is simulated using Matlab/Simulink environment; the simulation results show the control efficiency and system stability.The results obtained confirm the robustness of the system control and the system gives a good energy quality that manifests by a good output currant and voltage curves.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score0.745

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 head0.051
GPT teacher head0.221
Teacher spread0.170 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMathematical Modelling and Engineering ProblemsSame topicHVDC Systems and Fault ProtectionFrench-language works237,207