Multifunctional cyber‐physical system testbed based on a source‐grid combined scheduling control simulation system
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To establish a real closed‐loop control centre testing environment for a cyber–physical power system, a cyber–physical testbed was established by integrating industry supervisory control and data acquisition with a source‐grid co‐simulation system in the laboratory at the North China Electric Power University. The testbed employs a multi‐time scale interface and virtual remote terminal units to overcome the shortcomings of the real‐time digital simulator. Physical simulation was performed with a source‐grid co‐simulation system based on a real‐time digital simulator. Control system simulation was implemented using a commercial energy management system. The testbed was also integrated with a wide‐area‐network emulator to provide wide‐area‐network emulation and advanced attack simulation. An overview of the system and the key technologies used in the cyber–physical system testbed is provided in this study. In addition, two specific cyberattacks are simulated to demonstrate the capacity of the cyber–physical system testbed.
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.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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