Parametric dynamic phasor modeling of synchronous machine-rectifier systems for integrated ac-dc microgrids
Bibliographic record
Abstract
This paper focuses on the modeling of synchronous machine-rectifier systems, which are widely used as backup generation for supporting medium-to long-term interruptions in integrated ac-dc microgrids. The dynamic phasors (DPs) have been shown to effectively model such ac-dc systems and their components including harmonics. However, most of the existing DP models of line-commutated rectifiers are analytically derived, which have limited accuracy due to: 1) predetermined waveform of voltage/current switch functions that are relying on a single mode of operation; and 2) reduced-order representation of harmonic dynamics. To overcome these challenges, this paper extends the recently developed parametric DP (PDP) modeling approach by including the dynamics of harmonics through a set of numerically-constructed explicit algebraic functions. The proposed PDP model is validated with detailed simulations, and is shown to be very accurate in predicting the system harmonics for various operating modes and large-signal transients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".