The Analysis and Modeling of Voltage Survivability in Power Systems
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Bibliographic record
Abstract
The introduction of load-side control actions, to implement smart grid functions or integrate distributed generation units, has created a new source for power system dynamic events. Such events can have the capacity to adversely impact the stability in power systems. The growing interests in load-side control actions mandate the analysis and modeling of their contribution to voltage and frequency dynamics in power systems. This paper presents the analysis, development, and testing of a voltage-survivability based method for modeling the contributions of load-side control actions to power system voltage dynamics and stability. The developed method is structured using a voltage-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">$\pmb {\Gamma _{V}}$</tex-math></inline-formula> that is defined at bus in terms of the difference in reactive power injection before and after a load-side control action. The boundary values of 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">$\pmb {\Gamma _{V}}$</tex-math></inline-formula> are derived in order to identify survivable and non-survivable load-side control actions. The voltage-survivability based method is implemented and tested for the Barbados power system. Performance tests are conducted for integrating distributed generation units, as well as implementing demand response at several load buses. Results of conducted tests demonstrate the ability of voltage-survivability based method to accurately model and quantify the impacts of load-sides activities on the bus voltages in the test power system.
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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 | 0.001 |
| 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