Guest Editorial Special Section on Asynchronous Interconnect and Generation
Bibliographic record
Abstract
With the rapid growth of modern power systems and the wide application of high-capacity HVDC systems, the stability, security, and reliability of AC-DC synchronous system may become compromised by various complex faults in the system including the possibility of multi-HVDC blocking faults. Interconnecting two or more large AC power subsystems or transmitting large amounts of energy from power plants directly to load centers through HVDC links is deemed as an effective pathway for expanding the grid and enabling new solutions paradigms. However, a wider adaptation of this new technology also brings many technical challenges, including lack of standardized equipment, the design of versatile control to ensure stability, mismatch of generation and load, interactions between various equipment and their controllers, harmonics, resonances, sub- and super-synchronous oscillations in weak AC systems, etc. Research and development efforts are currently underway in many countries to address these challenges at the system and equipment levels. The areas of focus include the planning, design, construction, modeling, analysis, operation, control, protection, and stability of asynchronous interconnection of modern and future power systems. New high-efficiency topologies and effective measurements are also among the key nontrivial issues when developing practical asynchronous interconnected power systems.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.021 | 0.016 |
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 source (direct Gemma or distilled Codex), 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".