Dynamic Interactions and Stabilization of Weak Grid-Tied Parallel VSCs and Parallel CSCs Systems Considering PVG Dynamic Resistance
Bibliographic record
Abstract
The parallel operation of power converters is essential to meet increased power demands. However, due to dynamic coupling, the instability in one converter can affect the stability of another. Therefore, this paper analyses the interaction and stability differences among the weak grid-tied photovoltaic (PV)-interfaced parallel voltage- and current-source converters (VSCs and CSCs) considering the PV generator (PVG) dynamics. Moreover, the impacts of the changing PVG operating points from the constant-voltage to a constant-current region (CVR to a CCR) and changing control parameters on converters' dynamic interaction are studied and compared in both cases. It is found that parallel VSCs dc-links suffer from low-frequency (200 Hz) in parallel CSCs at the CCR with a short-circuit ratio (SCR) of 2.5. Moreover, the oscillation magnitude of injected power is higher in parallel VSCs compared to the parallel CSCs at SCR=1.2. Therefore, a stabilization method is proposed for both systems to ensure reduced interactions and stable operation in the CVR, CCR, and maximum power regions at weak and very weak grid conditions. Finally, the proposed compensators' efficacy is validated via detailed nonlinear time-domain and real-time simulation results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.001 | 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".