Model prediction adaptive control of inter-area oscillations in multi-generators power systems
Why this work is in the frame
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Bibliographic record
Abstract
An efficient adaptive stability control for multi-generators power system is presented based on step-ahead model prediction methodology. This control is named the model prediction adaptive control (MPAC) that is built upon optimization of selected performance index defined as weighted combination of generator voltage deviation, mechanical-electrical torque mismatch, and speed incremental. Method of Equivalent Circuit (MEC) is proposed to design the MPAC excitation controller for multi-generators power system. MPAC can realize real-time adaptive control based on the MEC. This paper demonstrates effectiveness of MPAC for improvement of the wide-area power system stability. The proposed MPAC is applied to a four-generator power system with weak interconnection between areas. Simulation results show that the inter-area oscillation after a substantial disturbance on a line connecting two areas can be damped out rapidly. Simulations also show the same efficiency of MPAC for the stability control of multi-generator power system as one of the excitation control with high gain AVR plus fine-tuned PSS.
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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 | 0.000 | 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 it