Network-integrated adaptive protection for feeders with distributed generations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Connections of distributed generations (DGs) powered by renewable energy resources on power systems start to show benefits but cause new concerns in system operations such as challenges in feeder protections. This paper proposes a new strategy for network-integrated adaptive protection and control of distribution feeders connected with DGs. The proposed strategy provides intelligent network-enabled protections for DG-connected feeders and overcomes DGs-imposed protection challenges such as increase of fault levels, change of prescribed fault flow paths, mis-coordinated tripping, unintentional islanding operations, non-interruptible fault currents, etc., and nonDG-caused problems such as undetected high-impedance ground faults. This paper presents a new architecture for monitoring / protecting network of multiple (over-hundred) feeder nodes. This architecture consists of four layers: backbone network, area domains, local domains, and cell units. The architecture is fault tolerant and has features from the classical star and ring architectures. The design, implementation, case studies, and field tests validation for the proposed network-integrated adaptive feeder protection are provided.
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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