Survivability-Based Method for Assessing Impacts of Load-Side Activities on Power Systems
Bibliographic record
Abstract
This paper presents the development and testing of a survivability-based method for assessing possible impacts of load-side activities on power systems. The developed method is based on defining a survivability index Γ, which is formulated in terms of the difference between pre-activity and post-activity power injection into a load bus. In order to accommodate steady-state frequency and voltage tolerances, boundary values for the index Γ are defined for each load bus. The proposed survivability-based method is implemented and tested for the Barbados power system. Tests are conducted for integrating distributed generation units, and for implementing demand response at several load buses. Results of conducted tests show that the proposed method can accurately quantify the impacts of load-sides activities on the functionality of a power system. In addition, test results demonstrate that the accuracy of the survivability-based method is not affected by the type or rating of distributed generation units and/or times and durations of demand response actions.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".