Laboratory Assessment of DER Inverter Grid Support Functions for Updated Canadian CSA C22.3 No.9 Interconnection Standard
Bibliographic record
Abstract
With the rapid increase in renewable energy integration in the electric grid, grid codes around the world are getting updated with requirements of grid support functions (GSFs) for the distributed energy resources (DERs). The Canadian interconnection standard CSA C22.3 No. 9 recently underwent revision and recently completed the public review process. This revised standard included advanced GSFs for DER systems and the test procedures (mostly referring to IEEE 1547.1 or UL 1741 SA) for assessing these DER GSFs. Two commercial solar/photovoltaic (PV) smart inverters were tested at the CanmetENERGY inverter test facility following the test procedures from UL 1741 SA and using the parameters from CSA C22.3 No.9. This paper presents the important aspects of the test procedure while doing standard compliance tests for the selected GSFs. Test results, issues requiring future consideration and comments are presented in this paper.
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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 | 0.000 | 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) | 0.003 | 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".