A nonlinear control approach to increase power oscillations damping by means of the SSSC
Bibliographic record
Abstract
Static series synchronous compensators (SSSC) have recently found applications in power oscillation damping (POD) improvement. Nonlinear dynamics associated with the SSSC's dc-link capacitor voltage, and effective interactions among its variables validate the use of nonlinear and multi-variable modeling and control techniques. A novel nonlinear input-affine multivariable model for a series connected SSSC with the transmission line is developed and formulated in this paper. Developing an affine model is a critical step in the design and implementation of many nonlinear and robust control approaches. Based on the proposed affine model, a feedback linearization nonlinear controller is introduced and used to improve the POD. Simulation results validate the feasibility of the proposed modeling and control approaches in maintaining the dc side capacitor voltage constant while effectively damp out power system oscillations. In addition, the zero dynamics of the system remains stable which means no deviation will occur in uncontrolled state variables.
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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) | 0.000 | 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) | 0.002 | 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".