A Unified Distribution System State Estimator Using the Concept of Augmented Matrices
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Bibliographic record
Abstract
Distribution system state estimation (DSSE) is becoming an essential element of many distribution management systems (DMS), serving as the basis of numerous smart grid applications. In this paper, a new DSSE approach is proposed based on the modified augmented nodal analysis formulation, which is known to have advantageous numerical characteristics. Special consideration is given to the estimation of transformer and regulator tap positions, as they are seldom telemetered on the distribution level. The proposed approach can be easily derived from existing power flow and short-circuit calculation algorithms, thus unifying the major steady-state analysis tools for distribution systems. The proposed DSSE algorithm is tested on the IEEE 8500-Node Test Feeder, and is shown to have good accuracy and efficiency. The proposed DSSE approach is also compared to existing algorithms and shown to have better convergence while yielding a more accurate solution.
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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 | 0.000 | 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 | 0.000 |
| 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