A Dual-Level Optimal Control Strategy for Offshore Microgrid Considering Efficiency and Operation Cost in Wide Load Range
Bibliographic record
Abstract
Both efficiency and operation cost are the key to offshore microgrids operation. At the same time, due to the lack of external energy support, the paralleled converters in offshore microgrids often needs to handle the operation in a wide load range. In that case, this paper proposes a dual-level optimal control framework to improve overall operation performance of offshore microgrid with paralleled converters within a wide load range. First, a normalized nonlinear relationship between power loss and operation cost of paralleled converters is established. Based on it, a multi-objective optimal function is established. Then, the optimal operation condition is derived by Lagrange Multiply method with the established converter performance index. Furthermore, optimal power sharing considering both efficiency and operation cost is proposed at first level. Then, second level control is proposed to improve system performance in a wide load range. The proposed decentralized dispatch strategy is realized by a consensus protocol mechanism with the mealy machine based on the established performance index. Experiment results in a scaled-down prototype are given to validate the effectiveness of the proposed dual-level control strategy. The proposed strategy is able to optimize performance of paralleled converters under different power profiles.
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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".