Practical aspects of testing Phasor Data Concentrators for wide area monitoring systems
Bibliographic record
Abstract
K Phasor Data Concentrator or Phasor Data Concentrator (PDC) is the key building block of the Wide Area Measurement System (WAMS) architecture. This paper presents practical aspects of functional testing of a PDC based on industrial experience on product design and testing. The specific contributions presented in this paper are listed below: i) test setup to ensure that all requirements that guided the PDC's design and development are met; ii) key aspects to examine during validation of different PDC functions (i.e. acceptable data rates and formats, time alignment, wait time etc.); iii) validation of the synchrophasor communication protocols implemented on PDC (i.e. IEEE 37.118 and IEC 61850-90-5); iv) time synchronization (with UTC - Coordinated Universal Time or local time zone); v) Device diagnosis functions (i.e. event recorder/SOE - Sequence Of Events, remote device status etc.); vi) performance and stress testing; and vii) Negative testing concepts.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".