Enhanced adaptive protection method for capacitor banks
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents balance equations for ultra-sensitive protection of shunt capacitor banks taking into account both an inherent (pre-existing) unbalance in the protected bank, and an unbalance in the power system. Four methods are derived: voltage differential, neutral voltage unbalance, phase current unbalance, and neutral current unbalance. These methods are generalizations of the known protection techniques and allow for ultra-sensitive protection with no delay required to ride through system unbalance conditions, or degraded sensitivity to overcome inherent bank unbalance. Additionally, the methods are immune to homogeneous thermal or ageing changes in the capacitor bank, and to switching transients. These novel algorithms facilitate auto-setting of the capacitor bank relay - an automatic process of nulling out preexisting bank unbalance as well as constant errors in instrument transformers and the relay itself. The paper derives equations for the operation of auto-setting and explains the application of this concept. The principle of auto-setting is extended in this paper to provide for continuous adjustment of the relay for maximum sensitivity and security.
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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