A Simple Approach to Damp SSR in Series-Compensated Systems via Reshaping the Output Admittance of a Nearby VSC-Based System
Bibliographic record
Abstract
This paper presents a new technique to damp subsynchronous torsional oscillations in a series-compensated system with multimass synchronous generator by reshaping the output impedance of an electrically nearby voltage-source converter (VSC; e.g., interfacing a high-voltage dc transmission system or wind farm). The incremental output admittance of a VSC that is constructed by the circuit components and control parameters of a VSC is the key element for VSC-grid interactions. The proposed subsynchronous resonance damping controller is based on reshaping the virtual output admittance of the interfacing VSC-based system to ensure positive damping in the vicinity of torsional modes. The proposed reshaping technique uses the voltage at the point of common coupling in cascaded compensators to magnify the positive resistance without using generator or turbine speed and/or torque perturbations. Time-domain simulation results and laboratory-scale experimental results are presented to validate the theoretical analysis and show the effectiveness of the proposed approach.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.003 | 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".