Adequacy Assessment Considerations in Wind Integrated Power Systems
Why this work is in the frame
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Bibliographic record
Abstract
There is a wide range of possible data representations, models and solution techniques available when conducting adequacy assessments of wind integrated generation or composite generation and transmission systems. This paper presents some of the basic factors and procedures that need to be considered when conducting wind integrated system adequacy assessment. Focus is placed on possible wind speed data models, wind energy conversion system models and their application in generation and bulk system adequacy evaluation. A series of studies is presented using two published test systems, the RBTS and the IEEE-RTS. These studies illustrate the effects of wind farm correlation on the determination of wind power capacity credit indices and on general adequacy assessment in generating and bulk electric systems. The impacts on the system well-being indices of adding wind power to a bulk electric system and the effects on the adequacy of a wind integrated system from energy storage obtained using hydro generation are examined by application to the IEEE-RTS.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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