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Record W4403094995 · doi:10.1109/tec.2024.3474481

Effect of DC-Side Dynamics on Interactions in Grid-Forming Inverter Systems

2024· article· en· W4403094995 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.

Bibliographic record

VenueIEEE Transactions on Energy Conversion · 2024
Typearticle
Languageen
FieldEngineering
TopicHigh-Voltage Power Transmission Systems
Canadian institutionsResearch ManitobaUniversity of Manitoba
Fundersnot available
KeywordsInverterGridDynamics (music)Computer scienceSystem dynamicsControl theory (sociology)Electrical engineeringPhysicsEngineeringVoltageControl (management)MathematicsAcoustics

Abstract

fetched live from OpenAlex

The power modulations carried out by a grid-forming inverter are profoundly affected by the capability of the inverter's dc-side circuit to support such modulations. Although preliminary work on dc microgrids includes the dc-side dynamics, analysis of potential ac-side interactions in the presence of grid-forming inverters is lacking. This paper presents an in-depth study of the interactions in grid-forming inverter systems considering the critical dynamics contributed by the inverter's dc-side circuitry. The study in this paper is based upon dynamic phasor modeling and eigenvalue analysis techniques. The results presented for an exemplar system of a grid-forming inverter paralleled with a synchronous machine prove the significance of including dc-side dynamics to accurately capture the full range of interactions that may occur in such systems. Detailed electromagnetic transient simulation results from PSCAD/EMTDC are included to verify the validity of the predictions of the dynamic-phasor-based model.

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 categoriesMeta-epidemiology (narrow)
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 score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.223
Teacher spread0.217 · 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