Performance Assessment of the αβ0-Based Bus Differential Protection
Bibliographic record
Abstract
This paper presents the experimental performance assessment of the αβ0-based bus differential protection (BDP). This protection is developed for buses that interconnect battery storage systems (BSSs). The tested BDP employs αβ0 components of the apparent powers flowing in all branches that are connected to the protected bus. The αβ0 components of apparent powers allow accommodating frequent changes in the direction of power flows due to the charging/discharging modes of the BSS operation. In each branch connected to the protected bus, the 3φ apparent powers are determined using the measured branch currents and voltage (at the protected bus). The αβ0-based BDP is implemented using a digital processing board for experimental testing for a laboratory setup. The test setup is composed of a bus that interconnects a 4 kW BSS, and feeds 3φ linear and dynamic loads. The performance of the αβ0-based BDP is assessed for responding to various internal and external faults occurring during the charging and discharging of the BSS. Experimental results reveal encouraging abilities of the tested BDP to initiate fast, accurate, and reliable responses to internal and external faults. Observed response features are complimented with a minor sensitivity to the BSS mode of operation, fault type, and/or fault location.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".