Frequency Scan Based Stability Analysis of an LCC-HVdc System
Bibliographic record
Abstract
Frequency scanning is a method for extracting the small-signal model of a power electronic system (PES) by injecting a wide-band signal in its time-domain simulation at steady state. This paper presents the stability analysis of the interactions between a Line Commutated Converter HVdc system (LCC-HVdc) and its ac grid using a frequency scanning technique. In this study, DQ based frequency scanning technique is used to extract the model of the HVdc system and the ac grid independently. Using the obtained model of the HVdc and the ac grid, two different approaches i.e. the Generalized Nyquist Criterion (GNC) and Eigenloci analysis are used to access the stability of the combined system. A comparison is given on the use these two methods for stability analysis. The methods presented in this paper can be used for the stability analysis of the interactions between any arbitrary PES and its ac grid.
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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 | 0.001 |
| 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".