HVDC System Vulnerability Assessment Based on Models Combination and Risk Theory
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
With the increasing utilization of HVDC systems, security assessment of HVDC system has become a hot topic. This paper presents a novel vulnerability assessment approach for HVDC system security analysis based on models combination and risk theory. The models of subsystem are combined to obtain the equivalent model of a whole HVDC system, which simplifies the calculation complexity. The risk index is used as an indicator of the level of security, and its sensitivity to a changing system parameter is used as an indicator of its trend. These two indicators are combined to determine the degree of HVDC system vulnerability to contingent disturbances. The risk index reflects the security status of HVDC system. The software completed and its visible results can be used as a simple and accurate indicator of the HVDC system. A case of HVDC system based on Manitoba system is presented to verify the correctness and effectiveness of the approach.
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 | 0.000 | 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