Network-based Adaptive Protection Strategy for Feeders with Distributed Generations
Why this work is in the frame
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Bibliographic record
Abstract
Various kinds of distributed generations (DGs) are being increasingly connected on the distribution systems and computer network-based controls are introduced to assist the system operations. This paper proposes a new network-based adaptive strategy for protection of distribution-system feeders connected with DGs. The proposed strategy provides an intelligent network-enabled protection for feeders and overcomes the DGs-imposed technical challenges such as increase of fault current, change of prescribed fault flow paths, sympathetic tripping, unintentional islanding operation, continuous non- interruptible fault current, etc., as well as non-DG-caused problems such as undetected high-impedance ground faults. This paper illustrates effective real-time determination of correct protection operations for feeders with dispersed DG-connections against faults and surges resulting from lightning, switching, equipment short-circuit, etc. Four typical case studies of the proposed network-enabled adaptive protection strategy for feeders in the distribution system connected with DGs are provided in the paper.
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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