Frequency scanning study of sub-synchronous resonance in power systems
Bibliographic record
Abstract
This paper presents a frequency scanning analysis for detecting the potential of subsynchronous resonance (SSR) in induction generator based wind farms. Two types of induction generator: single-cage and double-cage based wind farms are considered. The wind farms are connected to modified IEEE First Benchmark and IEEE Second Benchmark System. Detailed positive sequence model of the study systems are developed and frequency scanning is carried out by calculating effective impedance looking from the rotor circuit of the induction generators. It is found that induction generator based wind farms are quite susceptible to SSR due to induction generator effect when they are connected to IEEE First Benchmark System. In this case, SSR may occur at realistic levels of series compensation if the wind farms employ double-cage induction generators. Incidentally, no SSR phenomenon is found in wind farms which are connected to IEEE Second Benchmark System. The frequency scanning results are compared and validated with eigenvalue analysis. Hence, frequency scanning technique can be successfully utilized for initial investigation of any potential for SSR in wind farms connected to a series compensated transmission line.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".