Analysis of Distributed Generation’s Impact on the Protection System of Power Distribution Systems
Bibliographic record
Abstract
Over the past years, there has been a significant increase in the generation of electricity close final consumers, called distributed generation. Despite the recognized advantages, this sort of generation can cause several problems, particularly to the protection system of traditional distribution systems. Therefore, studying the impacts that distributed generation (DG) can promote on the protection of Electric Power Distribution Systems (EPDS) is a key factor, since the insertion of DG can modify the values of EPDS currents and the protection that was adjusted for a scenario without DG may not act correctly with the presence of photovoltaic generators (PV), due to the absence of monitoring and control of these units. Thus, the results obtained from modeling the IEEE 34-bus system and the devices commonly used in EPDS protection, i.e., fuses, relays and reclosers, indicate that there is a disposition for problems in protection coordination, requiring adjustments in the parameterization stage of protection devices to ensure continuity of service and respect for protection philosophy.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".