A Supervisory Remote Management System for Parallel Operation of Modularized D-STATCOM
Bibliographic record
Abstract
This paper proposes parallel operation between modularized distribution static synchronous compensator (D-STATCOM) systems for low voltage distribution networks. The proposed methodology is suitable for smart grid applications where multiple renewable energy sources are integrated to the network, hence improved grid voltage stability is required. An advanced control technique that allows monitoring, wireless communication and coordination between the connected modules is presented. A graphical user interface has been developed to perform as a supervisory management system in the control center. The control center is responsible to send external control commands to the D-STATCOMs wirelessly through internet. Grid voltage stability is evenly shared among the modules. Modularity and operation flexibility can be achieved as well. The system has been evaluated by controller hardware-in-the-loop approach, where the power stage is simulated in a real time digital simulation, while the control algorithm is developed in a digital signal processor.
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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 | 0.000 |
| 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".