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Record W2906177539 · doi:10.1109/pesgm.2018.8586557

Comprehensive Electromagnetic Transient Simulation of AC/DC Grid With Multiple Converter Topologies and Hybrid Modeling Schemes

2018· article· en· W2906177539 on OpenAlexaff
Zhuoxuan Shen, Venkata Dinavahi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConvertersModular designNetwork topologyElectronic engineeringTransient (computer programming)Topology (electrical circuits)GridComputer scienceEngineeringElectrical engineeringVoltageMathematics

Abstract

fetched live from OpenAlex

HVDC projects and renewable energy sources are increasingly being integrated into traditional AC grids, forming a more complex and yet sustainable power system. This paper focuses on the comprehensive electromagnetic transient (EMT) simulation of an AC/DC grid, which is composed of CIGRÉ dc grid test system, IEEE 39-bus AC system, and wind farms. The AC/DC converters are composed by different topologies of voltage source converters, including modular multilevel converters (MMCs), three-level neutral-point-clamped converters, and two-level converters. Piecewise polynomial curve fitting is proposed to the insulated gate bipolar transistor modules in the MMC. Furthermore, hybrid modeling schemes are proposed with different levels of complexity on the AC/DC grid to obtain accurate and efficient EMT simulation on PSCAD/EMTDC. Three-zone partition schemes based on distance, node number, and network coupling are also proposed and compared. The performance of the proposed schemes is presented and verified with a DC fault case study.

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: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.295

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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
Published2018
Admission routes1
Has abstractyes

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