Reliability assessment of hydro dominant systems with diurnal energy management
Why this work is in the frame
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Bibliographic record
Abstract
Hydro-electric generation is often energy limited due to insufficient river inflow during dry seasons. This can result in significant adverse impact on long term system adequacy. Most hydro plants are run-of-river types that have small head pond with limited storage capability to manage available energy to follow the demand variation. The opportunity for reliability enhancement of a hydro-dominant system through diurnal water management with the limited storage needs to be properly investigated. This paper presents analytical reliability models of head pond and power generation to recognize energy storage and the magnitude and time-shift of output power to match the diurnal load profile during energy limited periods of the year. The developed models are applied to the IEEE Reliability Test System that is modified to create a hydro dominant system. The impact on system reliability of diurnal energy management and the number plants involved in energy management are investigated in the study.
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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 | 0.000 |
| 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