Phase shifting autotransformer, transmission switching and battery energy storage systems to ensure n-1 criterion of stability
Bibliographic record
Abstract
Since the portion of non-dispatchable renewable generators in the system is increasing, several challenges to the safety and stability of the power system have arisen. The focus of this paper is analyzing local congestion effects in the system by using three distinct methods: phase shifting autotransformer, transmission switching and battery energy storage system. This work includes a review of the congestion management techniques and the results of simulations that utilize phase shifting autotransformer to reduce power flows in the network, and transmission switching and battery energy storage system in order to ensure N-1 stability criterion in case of malfunction of the integrated autotransformer. Power system is modelled and simulated using Power Transmission System Planning Software, a software tool for electric transmission system analysis and planning. Results of simulations are presented, a thorough analysis of the results is performed and justification of investments in proposed methods is elaborated.
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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 | 0.001 | 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".