System islanding considerations for improving power system restoration at Manitoba Hydro
Bibliographic record
Abstract
System islanding and load shedding concepts have been discussed throughout the industry and considered for years at Manitoba Hydro. The aim is to preserve stable areas of load and generation to aid in system restoration following a major outage. If the islanding scheme operates correctly system restoration may be less complex and overall restoration time reduced by one hour or more. This paper documents studies pertaining to the islanding scheme currently in service. Following a total loss of Manitoba Hydro HVDC, considered to be one of the more significant outages that can be experienced on the power system, the system naturally forms an island due to existing relays. Due to severe undervoltages, the island may disintegrate almost Immediately after its formation. Results show that if high speed under-frequency relays are installed at the natural islanding locations, forcing the island to form at a predetermined system frequency of 59.0 Hz, and prior to its natural formation, a relatively stable northern island can be formed and preserved. The integrity of this island is sensitive to the chosen islanding frequency and speed at which separation can occur in forming the island, TRVs across associated circuit breakers must be considered.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".