Conservation Voltage Reduction in Renewable-Rich Distribution Networks: A Review
Bibliographic record
Abstract
Increasing energy efficiency and reducing energy consumption are of interest to electric utilities. Conservation voltage reduction (CVR) is a conventional grid management technique that utilities use to achieve peak load shaving and energy consumption reductions. CVR controls voltage-dependent loads by reducing bus voltages intentionally to values near their lower operational limit. Integration of renewable distributed generation (DG) units in distribution grids attracts renewed interests for CVR. In this paper, CVR techniques in modern renewable-rich distribution grids is extensively reviewed. CVR can be realized through two steps: 1) CVR assessment, which evaluates effects of CVR on different system feeders to determine the feeders with high CVR potentials; 2) CVR implementation, which consists of the system modeling for components of distribution grids, such as voltage regulation devices and loads, and CVR implementation through control-, optimization-, or the coordination of control and optimization-based methods. Future research directions for CVR are recommended in the paper.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".