Low Voltage Distribution Network TN-S Impedance Identification Considering Single and Three-Phase Hybrid Connection
Bibliographic record
Abstract
The low-voltage distribution network (LVDN) terrestrial-neutral-separated (TN-S) impedance refers to the nodal resistance and reactance values on a three-phase five-wire line. The distributed photovoltaics and electric vehicles are increasingly integrated into the LVDN in either single-phase or three-phase mode. It will aggravate the three-phase unbalance, produce unbalance current in the neutral line, which brings difficulties to phase decoupling for impedance estimation. In this regard, this article proposes a LVDN TN-S impedance identification method that considers the single-phase and three-phase hybrid connection. Specifically, a LVDN line impedance model containing the neutral and phase line coupling relationship is proposed. Subsequently, the self-impedance of the phase and neutral line is modeled using a hierarchical-multiple regression, and the mutual impedance estimation model is proposed to investigate its impact on the TN-S line impedance. Then, a joint cross-iterative algorithm is devised to improve the accuracy of impedance identification. Finally, the effectiveness and accuracy of the proposed method are verified through a simulated 30-node LVDN test and an actual community system.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".