Contribution a l’évaluation de la fiabilité d’un réseau électrique
Bibliographic record
Abstract
Reliability evaluation of generation, transmission and distribution systems is an important requirement in overall power system planning and operation. Due to the enormity of the problem, reliability analysis is not usually conducted on a complete power system and reliability evaluations of generating facilities, transmission systems, and of distribution system segments are usually conducted independently. The reliability indices obtained for each segment are then used to make decisions. This kind of analysis generally assumes that the other parts of the system are fully reliable and capable of performing their intended functions. A more realistic procedure involves categorizing the generating, transmission and distribution zones into hierarchical levels and performing reliability analysis of these levels. This research illustrates the reliability indices which can be obtained at these hierarchical levels (HLs). The analysis considers element outages in all parts of an electric power system to provide a comprehensive assessment of the overall system. The concepts involved in the reliability evaluation of a complete power network are presented using an educational test system developed at the University of Saskatchewan-Canada known as the Roy Billinton Test System R.B.T.S. \nAn electric power system is a three segments system, of generation, transmission and distribution. These segments are referred to functional zones. The functional zones can be combined to form hierarchical levels (HL). \nThis thesis illustrates how system planers and operators can incorporate the reliability assessment in a range of power system application. All the approaches used in the research are described in details, permitting the comprehension of the techniques to assess power systems for reliability studies. The evaluation allows engineers to take judgments for different
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".