Packet scheduling of GOOSE messages in IEC 61850 based substation intelligent electronic devices (IEDs)
Bibliographic record
Abstract
IEC61850 is a new international standard for communication networks and systems in substations that defines different message types based on their transfer time requirements. In IEC61850-based Substation Automation systems (SAS), Generic Object Oriented Substation Event (GOOSE) messages are used for conveying time critical information between the protection and control devices. In a switched SAS network architecture the switches are provided with a strict priority queuing discipline to provide higher priority for the real-time messages. However, the message scheduling inside the intelligent electronic devices is first in first out. The non-critical messages can add to the queuing delay of GOOSE messages during a heavy traffic congestion period. In this paper, different packet scheduling algorithms have been applied for SAS IEDs using an OPNET simulation tool. A sample SAS network is constructed based on IEC61850 specifications, and the effect of the different packet scheduling schemes in IEDs on GOOSE message delays is analyzed in detail. The comparison of these different packet scheduling schemes have been discussed from the results of the sample SAS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".