Attenuation of Wind Power Fluctuations in Wind Turbine Generators using a DC Bus Capacitor Based Filtering Control Scheme
Bibliographic record
Abstract
Wind energy is fluctuating. However, in wind turbine generators (WTGs), by allowing a certain amount of variations of the voltage on the bus, a dc bus capacitor is able to offer a power shaping ability, and can function as an energy storage system (ESS). This paper proposes a power fluctuation filtering algorithm, applied to the ESS to selectively and adequately attenuate the medium frequency wind power fluctuations. A medium-sized ESS produces a fairly smooth wind power output and ensures the WTG stability under severe wind fluctuations. The proposed algorithm is applied to a 2 MW permanent magnet synchronous machine (PMSM) WTG, simulated in an electromagnetic transients program. The fluctuations of both pre- and post-filtered wind powers are presented, and quantified in the different frequency regions. Simulation results confirm the effectiveness and robustness of the control algorithm
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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) | 0.000 | 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) | 0.001 | 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".