A novel modelling approach for decentralized voltage and speed control of multi-machine power systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper proposes a novel modelling approach of multi-machine power systems for the design of decentralized multi-variable voltage and speed regulators. In this approach, each generator views the rest of the network as effective instantaneous impedance. The new model contains time-varying parameters representing the interactions among the system generators. The time-varying parameters depend only on the operating conditions of the power system and are independent of the structure of the latter. The advantages of this model are its simplicity, the fact that each generator's terminal voltage and rotor speed are expressed only in terms of local measurable variables and its capability to model inter-machines interactions. A decentralized multi-input multi-output (MIMO) non-linear voltage and speed regulator based on the new model is then used to dampen oscillations in a four-machine power system and to illustrate the advantages of the proposed modelling approach. Simulation results show that voltage, rotor and inter-area oscillations are well damped.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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