The role of asymmetric operation in enhancing the flexibility of power system operation
Bibliographic record
Abstract
As the title of this paper suggests, the objective of asymmetric operation in the long run is to enhance the flexibility of power system operation in the light of so many conflicting constraints and demands. It is not so much the design as the operation, not so much the criteria as the technology that has enable the modern power system to respond to the stresses imposed by a new environment. This is not the same power system as yesterday. The question that naturally arises is to what extent the three phases of a system is considered as three separate entities, at least in selected areas of the network, to achieve a better degree of flexibility. Such an approach is termed asymmetric operation and in combination with compensation devices, especially FACTS controllers, can go a long way to achieving this improved flexibility. Such an approach is applied to preserving the security of the network under fault conditions and to meeting the operational requirements of the deregulated environment. It is a window of opportunity.
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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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".