Transient Stability Analysis and Optimized Coordination Control Method for Multi-Parallel PLL-synchronized Inverters under Grid Fault
Bibliographic record
Abstract
To develop renewable energies, increasing inverter-based resources (IBRs) are integrated into the grid. In IBRs, multiple inverters are often connected to the point of common coupling (PCC) in parallel and adopt the phase-locked loop (PLL) for maintaining the synchronism of the injected current. In state-of-the-art research, the power exchange between inverters and the grid during the transient process has been well studied, revealing the transient instability mechanism. However, the interactions among inverters, which also affect the transient stability, are not fully taken into consideration. This paper analyzes the system transient stability through the modeling of an n-parallel PLL-synchronized inverters system, and then proposes an optimized coordination control method to improve the system transient stability. Finally, a 3-parallel PLL-synchronized inverters simulation model is established and tested to verify the theoretical analysis and proposed method.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".