SFA-EMT hybrid simulation of power systems: Application to HVDC systems
Bibliographic record
Abstract
• Hybrid closed-form SFA/EMT solution with no iterations. • Maintains high accuracy and stability with large integration steps. • Arbitrary ratio of integration steps between the AC and EMT subsystems. • Automatically accounts for the direct injection of harmonics into the AC network. This paper presents the application of a novel hybrid multirate protocol to interface a Shifted Frequency Analysis (SFA) solution with an Electromagnetic Transients (EMT) solution. Using the Multi Area Thévenin Equivalent (MATE) framework, the protocol enables the direct interfacing of SFA and EMT solutions without time step delays, iterations, or the use of transmission lines to decouple the solutions. The protocol adds a parallel EMT solution to track both the real and imaginary parts of the EMT solution. This allows for a direct interface to the complex-number SFA solution. The proposed hybrid approach allows for large time steps in the SFA solution and does not require the time steps of the SFA and EMT systems to be multiples of each other. The protocol has been previously validated in a transient stability study, and it is applied in this paper to power electronics devices in the EMT subsystem using a modified CIGRE HVDC benchmark system. The use of SFA and the multirate nature of the solution offers significant computational savings for large power systems compared to an EMT-only solution.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".