Bibliographic record
Abstract
New energy sources such as solar energy, tidal energy, and geothermal energy possess characteristics of random dispersion, making centralized utilization unfeasible. Microgrid structures and control methods are relatively simple, enabling rational utilization of new energy sources, and have garnered widespread attention. Compared to AC microgrids, DC microgrids are easier to control, reduce energy conversion steps, eliminate factors like reactive power, and maintain frequency consistency. Thus, they are more conducive to the efficient utilization and coordinated control of new energy. This paper investigates the coordinated control strategy of a photovoltaic and energy storage-based DC microgrid system. By assessing the range of bus voltage and the power balance between photovoltaic output and load absorption within the system, a coordinated operational approach for the photovoltaic-energy storage DC microgrid is proposed. Segregating the system into various operating states based on different control methods for photovoltaic units and energy storage, the system's operation becomes more efficient and economical. This further validates the feasibility of the proposed strategy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".