Power Quality Control of Wind-Hybrid Power Generation System Using Fuzzy-LQR Controller
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Bibliographic record
Abstract
This paper presents modeling and control design of a wind-hybrid power system that includes a battery storage and a dumpload. The proposed control scheme is based on the Takagi-Sugeno (TS) fuzzy model and the linear quadratic regulator. The TS fuzzy model expresses the local dynamics of a nonlinear system partitioned into sub systems by linguistic rules. A possibility auto-regression model is presented that provides optimally partitioned sub systems based on the observed time series. The controllers for each sub system are designed by the linear quadratic regulator. In the simulation study, the proposed controller is compared with the conventional proportional-integral controller and shown to be more effective against disturbances caused by the wind speed and the load variations. Thus, a better power quality is achieved on the given site.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it