Modeling and performance analysis of large solar photo-voltaic generation on voltage stability and inter-area oscillations
Bibliographic record
Abstract
The behavior of Solar Photo-Voltaic Generation (SPVG) in the grid is defined by the way its output active and reactive power are controlled; the reactive power can be controlled directly as a preset value or indirectly through controlling the voltage magnitude at the point of common coupling (PCC). Therefore, two basic modeling approaches are considered in the present work: constant reactive power and constant voltage magnitude models, for an infinite-capacitor SPVG. Based on these models, studies of the effect on the system's voltage and angle stability of integrating SPVG into the grid are presented and discussed for the IEEE 14-bus benchmark system. The analyses are performed at the transmission system level and from the system operator's perspective. Therefore, voltage stability studies are carried out using PV curves, small-perturbation stability studies are performed based on eigenvalue analyses of the linearized system modes, and time domain studies are carried out to examine the overall performance of the system in the case of contingencies. From the results and studies presented, it is shown that SPVG in PV-control mode does not negatively affect the stability of the system, and it may actually improve it.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".