Power system reinforcement planning considering wind power and load forecast uncertainty using the well-being analysis framework
Why this work is in the frame
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Bibliographic record
Abstract
This paper illustrates the utilization of quantitative reliability assessment in the evaluation of transmission planning alternatives in a wind integrated electric power system. The concept of load forecast uncertainty is introduced and incorporated in the studies. Static security assessment is performed using the well-being analysis framework which incorporates a conventional deterministic criterion, such as the N-1 approach, in a probabilistic framework to create the system risk indices. A modified version of the IEEE-Reliability Test System (IEEE-MRTS) is used as the study system in this paper. Reliability cost/reliability worth studies are conducted on the proposed expansion alternatives. These studies show that optimum reinforcement options can change by recognizing load forecast uncertainty and the security costs associated with encountering a marginal system operating state.
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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 | 0.000 |
| 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