Changing in Economic Value of Photovoltaic Systems Based on Penetration Level
Bibliographic record
Abstract
In Iran, residential Photovoltaic (PV) generation has received continuous support from government in the recent for several years. Government gives an incentive program in the form of feed in tariff (FIT) mechanism. At more penetration, PV output creates major operational problems to the current grid that is operated for unidirectional power flow, which in this case unbalancing between demand and PV output increases. Thus, with enhancing penetration level of PV units, the support polices should be modified. In this context, the present paper aims to concentrate on designing a suitable incentive mechanism with respect to the penetration theory of PV systems in distribution systems. In doing so, first, the economic terms including the value of generated energy and capacity value are estimated using the electricity generation profile of PV systems and electricity grid conditions. By the way, to analyze the PV output, direct insolation simulation code (DISC) is applied for prediction of solar radiation as the key contribution of system advisor model (SAM) software. The findings show that the level of incentives is crucially linking with the RES penetration rate.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".