Bibliographic record
Abstract
Unified power quality conditioner (UPQC) is a kind of comprehensive power quality compensation equipment with complex circuit and structure. Starting UPQC involves the establishment of the DC side capacitance voltage, logical sequence of series, parallel compensator and load, namely each part of UPQC must have a certain of start time sequence and logic control strategy. This paper discusses three establishing methods of the capacitor voltage on DC side of UPQC, which can be considered as DC power, and analyzes their advantages and disadvantages, too. Then the control logic of UPQC starting, namely the order of power supply, series and parallel compensator, and load, is discussed based on the different capacitor voltage establishment methods. The reason of adopting these switching sequences is analyzed and the detailed start logic diagram is drawn. Finally, different switching sequences are simulated by MATLAB/Simulink. The simulation results show that the proposed strategy is effective. This work is supported by National Natural Science Foundation of China (No. 50807049).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".