Bibliographic record
Abstract
Microgrids can be considered as a tool to improve the power distribution system reliability and a platform to integrate renewable energy into the power grid. In the absence of large rotating synchronous generators, often microgrid voltage waveforms are formed by power electronic converters. These converters operate at constant voltage (constant V -f) mode operation when the microgrid is in islanded configuration and operate at constant power (constant P-Q) mode when the microgrid is connected to the main power grid. It is important to understand the performance of converters in terms of managing power balance within the microgrid both when they are connected to the main power grid and at stand-alone. Results of an experiment conducted with a prototype microgrid are presented. The prototype microgrid is purely formed by a three-phase converter bank. It is a three-phase unbalanced AC-DC network with a connected single phase Battery Energy Storage System (BESS), AC load and a DC load. Details of all network elements of the microgrid are included in the paper. By comparing voltage measurements to power flow analysis results, it was concluded that converters could manage the microgrid power balance.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".