Decoupled Current Control of Grid-Tied VSIs Using Real-Time Impedance Angle Compensation
Bibliographic record
Abstract
This paper proposes an impedance angle compensation (IAC)-based current control strategy for voltage source inverters (VSIs), to improve dynamic performance and mitigate cross-axis coupling under varying interface impedance, a common challenge in grid-tied renewable energy systems. Unlike traditional methods that rely on explicitly tuned feed-forward, feed-back, or complex compensators, the proposed approach introduces a real-time transformation based on the interface impedance angle. This transformation normalizes the plant transfer function, enabling conventional PI controllers to maintain high current regulation accuracy with minimal tuning. Experimental results demonstrate that the IAC method reduces overshoot to less than 0.1% and achieves consistent settling times of approximately 17-19 ms, even under ±40% impedance variation. Comparative analysis confirms superior transient response and decoupling performance over existing techniques. Additionally, by leveraging the predictability of the terminal voltage angle, the method ensures direct control trajectories and strong adaptability to real-world operating conditions. With low computational complexity and operational consistency, the IAC strategy presents a practical and scalable solution for grid-tied inverters and high-speed motor drives. This method is designed for single-phase grid-tied inverters and verified through simulation and experimental implementation.
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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 | 0.000 |
| 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) | 0.000 | 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".