Modeling and Stability Analysis of Parallel Grid-Forming Converter Systems Based on Virtual Oscillator Control and VSG Control
Bibliographic record
Abstract
The grid-forming converter has voltage source characteristics that can support the grid voltage and frequency, effectively improving the stability of power systems with power electronics. The Andronov-Hopf-Oscillator-based Virtual Oscillator Control (AHO-based VOC) strategy has emerged as a novel approach in recent years. As for a system of parallel gridforming converters includes both this strategy and the Virtual Synchronous Generator (VSG) control strategy, the stability of the system has rarely been studied so far. In this paper, a threephase system with two grid-forming converters in parallel is established. Subsequently, a small-signal model of the system is built, and the influence of controller parameter and transmission line parameters on the small-signal stability of the system is investigated. Simulation results show that the system remains stable when the parameters are changed and has better power quality than the parallel system only using VSG control.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".