Survivability Analysis of Impacts of Load-Side Activities on Power Systems
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Bibliographic record
Abstract
This article presents the development and testing of a survivability-based method for assessing the possible impacts of load-side activities on power systems. The developed method is based on defining a survivability index <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\Gamma$</tex-math></inline-formula> , which is based on the difference between the preactivity and postactivity power injection into a load bus. In order to accommodate steady-state frequency and voltage tolerances, boundary values for the index <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\Gamma$</tex-math></inline-formula> 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 distribution 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-side 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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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 it