Analysis of Shipboard Power Systems with Saturable Models of Synchronous Machines
Bibliographic record
Abstract
Synchronous machines are widely utilized in modern shipboard power systems, serving as primary power generators and propulsion motors due to their reliability and efficient energy conversion. The propulsion motors are typically driven using variable-frequency drives (VFDs), which at megawatt power levels may be realized by thyristor-based AC–AC cycloconverters due to their robustness and high-power handling capability. However, cycloconverters introduce significant harmonics that degrade onboard power quality. Magnetic saturation in synchronous machines (which is often ignored by linear models) impacts the machine’s impedance characteristics and also changes the field winding excitation level required to maintain the AC bus voltages at the desired level. To capture both effects, the electromagnetic transient (EMT) simulations require accurate, yet computationally efficient, synchronous machine models. This paper proposes the use of a full-order saturable synchronous machine model for the analysis of the system harmonics and the field winding losses. The studies are conducted on a representative shipboard power system, and the advantages of using the proposed saturable model are demonstrated.
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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 | 0.001 |
| 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 | 0.001 | 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".