Grid-Connected PV Systems: Impact Evaluation & Optimal Allocation and Sizing for Losses Minimization and Voltage Improvement (Jordanian Case Study)
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
Jordan became one of the countries which looking for integrating Photovoltaic energy systems (PV) into power distribution systems. In this study, simulations and analysis were implemented on Irbid District Electrical Company (IDECO) grid to investigate the impact of distributed PV system on the power flow and voltage profile of the distribution network. The impact of different PV generation penetrations on the power flow and voltage profile is compared. Moreover, the impact of the location where PV is installed is investigated. Various test scenarios corresponding to different weather conditions such as solar radiation and temperature are simulated. Finally, Sizing and allocation of the PV system in the tested feeder are optimized according to sensitive of nodes to power losses and voltage improvement. In this paper, CYME power flow software and MATLAB program are used to investigate the results.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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