Decentralized Control of Unbalanced Hybrid AC/DC Microgrids for Maximum Loadability
Bibliographic record
Abstract
An interlinking converter (IC) is an AC/DC converter that is used to link AC microgrids to DC microgrids, forming hybrid AC/DC microgrids. Several techniques have been demonstrated in the literature to utilize the IC for maximizing the loadability of the AC side. However, all these methods are centralized, which requires communication and extra hardware. The proposed work in this paper develops a communication-free, decentralized method to increase the loadability of hybrid AC/DC microgrids. The three-phase voltages and currents are decomposed into positive and negative sequence components. By controlling these sequences, the ICs can relieve the unbalanced power from the distributed generators on the AC side, which helps maximize their loadability. Furthermore, a decentralized coordination method is developed to share the load of the unbalanced power evenly between multiple ICs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".