Coordination of Directional Overcurrent Relays in Transient Topologies Induced by Faster Operation of Remote-Side Circuit Breakers
Bibliographic record
Abstract
This paper presents a novel methodology for directional overcurrent relays (DOCRs) coordination that effectively accounts for the transient topologies triggered by faster operation of remote-side circuit breakers (CBs), thereby preventing miscoordination and enhancing power system reliability. The methodology is based on the dynamic model of DOCR, allowing for the incorporation of short-circuit currents associated with the moments before and after the operation of remote-side CB in the coordination process. This method facilitates the determination of time multiplier, pickup current, and characteristic curve settings; while earlier methods are unable to determine the latter two settings because updating these settings alters the slope of DOCR curve, shifting the specified interference between DOCRs on both sides of a line to a different fault location. The proposed method is structured as a nested optimization problem: the outer layer establishes the initial operational sequence of DOCRs on both sides of each line, while the inner layer updates the DOCR settings to prevent miscoordination. Comprehensive consideration of various short-circuit types and locations in the study about the faster operation of remote-side CB enhances the robustness of the proposed coordination method compare to existing ones, which is also validated through hardware-in-the-loop testing.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".