Relay Coordination Scheme in Microgrids Based on Non-Standard Tripping Curve of DOCRs With Multiple Setting Groups
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Bibliographic record
Abstract
The coordination of directional overcurrent relays (DOCRs) gets affected upon variation in microgrid mode of operation. The changes in distributed generations (DGs) penetration level, distribution line or DG outages significantly imposes difficulties on the performance of DOCRs coordination. The proposed protection coordination scheme is designed by considering N-1 contingency conditions that can result in single DG outage, line outage, and substation outage conditions. The proposed scheme is tested on the nine bus Canadian benchmark system to validate the effectiveness. The proposed method obtains the optimal setting of the relays in the offline mode using a new metaheuristic technique called wild horse optimizer, and the working steps to execute the proposed approach in real time environment are demonstrated. Further, the user defined or nonstandard tripping characteristics for the DOCRs have been proposed, which enhances the coordination among relay pairs. All the important network topologies are designed into several setting groups or clusters suitable for modern numerical relays to adaptively change upon variation in network conditions. The performance of the proposed scheme is compared with the standard relay characteristics scheme and validated in real-time digital simulator environment using both synchronous and inverter-based DG to demonstrate the potential ability of the proposed protection scheme for reliable protection measures in microgrids.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it