Experimental Investigation of Inter-Phase Power Management in Residential Microgrids
Bibliographic record
Abstract
With increased installation of single-phase rooftop PV systems, in-house battery storages, and high-power plug-in loads (i.e. EVs) at single-phase residential sites, it is prevalent that more and more distribution systems are becoming severely unbalanced causing power quality problems and thermal risks at distribution substations. To solve this problem, two main strategies have been developed previously by the authors, known as intra- and inter-phase power management strategies. The latter makes use of interconnecting back-to-back converters between the phases to mitigate the phase imbalance caused by the various single-phase DG units and loads. This paper devotes laboratory evaluation of the developed schemes and demonstrate key features experimentally on inter-phase power management. Two main experiments have been carried out to confirm that the developed technique can use the surplus power capacity from one phase to support the load demand in another phase to achieve dynamic power balance. From the point view of the substation transformer, the three-phases will always appear to be balanced despite the fact that different phases can have very different local generation and load profiles.
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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 | 0.000 |
| 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".