Transmission congestion relief solutions by load management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In deregulated and competitive power systems, congestion in the transmission system can pose a major problem that is not only a physical threat to the security but also results in severe price hikes due to limited generation resources in particular local areas. One possible solution to such a problem is to find a customer who will volunteer to lower its consumption of electricity when transmission system congestion occurs. By lowering the consumption, the congestion will disappear resulting in a significant reduction in prices based on bus marginal costs. A strategy to decide who will be the most likely volunteer and how much load should be curtailed is proposed here. We have conducted simulation tests on a modified IEEE 14 bus system using security-constrained optimal power flow. The anticipated effect of the proposed congestion relief solution is to encourage consumers to be elastic against high prices of electricity as well as to discourage suppliers from exercising strategic market power to manipulate prices by taking advantage of congestion. Hence, the proposed congestion relief procedure could eventually protect all customers from high electricity prices in a deregulated environment.
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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