Optimal Subhourly Electricity Resource Dispatch Under Multiple Price\n Signals With High Renewable Generation Availability
Bibliographic record
Abstract
This paper proposes a system-wide optimal resource dispatch strategy that\nenables a shift from a primarily energy cost-based approach, to a strategy\nusing simultaneous price signals for energy, power and ramping behavior. A\nformal method to compute the optimal sub-hourly power trajectory is derived for\na system when the price of energy and ramping are both significant. Optimal\ncontrol functions are obtained in both time and frequency domains, and a\ndiscrete-time solution suitable for periodic feedback control systems is\npresented. The method is applied to North America Western Interconnection for\nthe planning year 2024, and it is shown that an optimal dispatch strategy that\nsimultaneously considers both the cost of energy and the cost of ramping leads\nto significant cost savings in systems with high levels of renewable\ngeneration: the savings exceed 25% of the total system operating cost for a 50%\nrenewables scenario.\n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".