V-I Controllability-Based Optimal Allocation of Resources in Smart Distribution Systems
Why this work is in the frame
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Bibliographic record
Abstract
The use of distributed generators (DGs) has increased in the past decade and projections indicate that penetration will further increase. In this scenario, with the improvements in power-electronics-based converters, the DG units have the potential to effectively resolve voltage/current control issues in low-voltage distribution systems. In this paper, a new probabilistic index is defined to measure the controllability of voltages and currents in the buses and lines of distribution systems. Using this index greatly facilitates the analysis and measurement of voltage/current controllability levels of distribution systems. Different types of DGs are allocated in the system to optimize the voltage/current controllability by using the defined index. The results are compared with those obtained through the conventional approach of DG allocation, which is based on the minimization of energy losses. A new combined index is defined to include both V-I controllability and energy losses. Several sensitivity studies are then performed to show the effect of the penetration level of different types of DGs on the proposed indices.
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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