Distribution level STATCOMs (DSTATCOMs) for load voltages support
Bibliographic record
Abstract
In this paper we investigate impact of distributed compensators on power system voltages in steady state. We use the principle of the superposition to show that it is more efficient, in terms of VArs supplied to power system, to provide voltage support in load centers at distribution side of bulk power delivery substation then on its transmission side. The case one incoming transmission radial line-one bulk power delivery substation is transposed to more general one incoming transmission line delivering power to N outgoing distribution circuits where each distribution circuit has its own static VAr system providing voltage support. The line is firstly modeled as lumped inductance and later, distributed parameters are used. The higher efficiency of N distributed compensators on distribution side versus one lumped compensator on transmission side of substation is proven using Kirchhoff's laws. The feasibility of proposed voltage support scheme is demonstrated by vector diagrams and detailed numerical simulation. The simulation is performed by Hypersim, a real time simulator and software for great accuracy developed by Hydro-Quebec research institute.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".