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Record W4312605837 · doi:10.1109/tec.2022.3220085

Average-Value Model for Voltage-Source Converters With Direct Interfacing in EMTP-Type Solution

2022· article· en· W4312605837 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Energy Conversion · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInterfacingEmtpConvertersVoltage sourceComputer scienceVoltageControl theory (sociology)Power (physics)Electronic engineeringElectric power systemEngineeringElectrical engineeringComputer hardwarePhysicsControl (management)

Abstract

fetched live from OpenAlex

Average-value models (AVMs) of high-frequency switching voltage-source converters (VSCs) are indispensable for fast/efficient simulation of VSC-based power systems. However, in EMT/EMTP-type programs large simulation time-steps cannot be utilized with conventional non-iterative interfacings of AVMs due to numerical inaccuracy/instability as a result of a one-time-step interfacing delay. In this letter, a directly-interfaced AVM has been developed for the VSCs which eliminates the interfacing delay and allows large time-steps. This is achieved by formulating the AVM in the nodal form that is solved simultaneously with the overall network nodal equations. The new proposed model is demonstrated to outperform the existing AVMs of VSCs in terms of accuracy at fairly large time steps.

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.

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 score0.982
Threshold uncertainty score0.765

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 head0.007
GPT teacher head0.175
Teacher spread0.169 · 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