A NEW ADAPTIVE UNDER-FREQUENCY LOAD SHEDDING SCHEME FOR MULTI-AREA POWER SYSTEM, 1-10.
Bibliographic record
Abstract
Under-frequency load shedding (UFLS) is a critical function of frequency control in a power system.This paper presents a new adaptive UFLS scheme in multi-area power systems, where the frequency thresholds and load to be shed are adapted to the severity of the disturbance in each control area.In this approach, the frequency thresholds are adapted by a fuzzy logic controller using the rate of change of frequency (RoCoF), the tie-line transit, the amount of load to be shed is estimated according to the available tie-line capacity and spinning reserve.The objective is to avoid the collapse of the power system following a major disturbance, by shedding a sufficient amount of load while avoiding the tripping of the tie-lines.Numerical simulations are performed on the multi-area Algerian transmission power system and used to demonstrate the effectiveness of the proposed approach compared to the conventional and adaptive approaches.The results show the effectiveness of the proposed approach, with a better quality of frequency control by adapting the amount of load shedding to the severity of the disturbance, and ensuring a better stability of the system by avoiding tripping of the tie-lines.
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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 | 0.000 | 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 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".