Non‐linear large‐signal stabiliser design for DC micro‐grids
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Bibliographic record
Abstract
This study proposes a non‐linear stabiliser to suppress the current/voltage fluctuations of DC micro‐grids (DC‐MGs) caused by large transients. These transients typically occur following a reconfiguration of DC‐MGs, such as disconnection/reconnection of electrical sources, or rearrangement in the structure of DC‐MGs. In the DC‐MG under consideration, a number of the DC sources are implemented in the form of hybrid power conversion systems (HPCSs) consisting of a parallel combination of a super‐capacitor (SC), a fuel cell and a photovoltaic (PV) system. Due to the fast dynamics of the SC units, the stabilisation function of the DC‐MG during transients is performed by these units using a supplementary signal provided by the stabiliser. The proposed stabiliser is intended to operate in a decentralised manner. To this end, a novel Lyapunov function is proposed to adjust the stabiliser parameters based on local data relevant to each HPCS. The control scheme employed is based on a simple structure facilitating the implementation of the proposed stabiliser. Finally, time‐domain simulations are carried out demonstrating the effectiveness of the proposed control framework in a multisource DC‐MG.
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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 it