NON-LINEAR MODEL OF A SYNCHRONOUS GENERATOR FOR DYNAMIC SIMULATIONS, TRAINING AND TEACHING
Bibliographic record
Abstract
The development of digital and simulation tools is a major challenge for the teaching of electro-mechanics and related fields, as their suitability depends both on scientific and educational requirements. In this regard, this paper presents a synchronous generator model, developed for the teaching and training in the hydroelectric field. The model developed with MATLAB/SIMULINK and having the characteristics of being dynamic, versatile, flexible and easily integrated in most electrical power generation system using synchronous generator, is made of a mechanical part, an electrical part, and an excitation circuit. It is a dynamic nonlinear model which can perform most of the simulations of real life situations by acting on the load and presenting the resulting curves. Moreover, it allows direct simulation without the need for initial conditions re-evaluation. In this paper, its stepwise system development is covered alongside its subsystems. Our results indicate a successful application of the developed model in a complete hydropower system production, and suggest the importance of such tool.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".