Minimizing Distribution System Power Loss Using Behind-the-Meter Type 3 Generators
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper considers power loss reduction in distribution systems by integrating behind-the-meter, type 3 distributed generation (DG) sources. Power loss is estimated using the forward/backward sweep (FBS) method, and the loss reduction is maximized using particle swarm optimization (PSO). Power factor, and DG location and size are used as optimization parameters. The IEEE 33 bus distribution system and PSS SIN-CAL software are used to evaluate the proposed solution. Results presented show that for the same DG penetration in a distribution system, behind-the-meter, type 3 DG sources can significantly reduce power loss. Thus, utilities not only benefit from investment cost savings but also higher efficiency in their distribution systems. Therefore, utilities could give more subsidy to the customers to encourage installing DG sources in optimal locations. DG sources are typically renewable energy sources, so environmental concerns are also mitigated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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