TCSC impact on communication-aided distance-protection schemes and its mitigation
Bibliographic record
Abstract
The paper analyses the impact of the thyristor-controlled series capacitor (TCSC) on the performance of conventional communication-aided distance-protection schemes and proposes new schemes for its mitigation. The associated TCSC control actions introduce rapid changes that create certain problems in the primary-system parameters such as line impedances and load currents, causing the apparent impedance seen by the distance relay to be affected during the fault period; hence the positive-sequence impedance measured by the traditional stand-alone distance relays is no longer an indicator of the distance to a fault. It is shown that communication-aided distance-protection schemes that perform successfully in lines with fixed series capacitors have problems in lines with TCSC. This impact is observed not only on the relays of the compensated line with TCSC, but also on the relays of adjacent lines. Mitigation of this problem is proposed by using new communication-aided schemes. The proposed schemes use the information available at the substation to inhibit relay malfunctions. The performance of the techniques is studied for different TCSC locations in the transmission line. Real-time digital simulation and commercial relays are used to perform the analysis. The results indicate the effectiveness of the proposed methods to be applied in the power systems equipped with TCSC.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".