Flicker mitigation planning solutions in distributed wind power: A real-time simulation analysis
Bibliographic record
Abstract
This paper studies the sensitivity of flicker severity to flicker mitigation planning solutions that can be adopted by distribution network operators. More specifically, the paper studies the flicker mitigation capacity under different bandwidths of direct voltage control stipulated by the network operator and implemented by a distributed wind farm, different MV/HV substation transformer ratings, series compensation of the distribution line and finally, the change of the wind farm connection point. The purpose of this paper is to provide results that help in the understanding of the feasibility and effectiveness of flicker mitigation solutions in the planning phase of a wind farm. A detailed typical North-American 25 kV distribution network is employed as the test network and a 10 MW DFIG-based wind farm is employed as the source of wind power. The flicker measurement is carried out for a 10-minute time frame according to the guidelines of IEC standard 61000-4-15. All studies are conducted on a multi-processor real-time simulator for its superior computational capacity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".