First in Canada, Night and Day Field Demonstration of a New Photovoltaic Solar-Based Flexible AC Transmission System (FACTS) Device PV-STATCOM for Stabilizing Critical Induction Motor
Bibliographic record
Abstract
Photovoltaic (PV) solar farms are typically dormant at nighttime with their entire expensive assets unused. This paper presents the first in Canada (and perhaps first in the world) utility demonstration of a novel nighttime and daytime technology of utilizing PV solar farm as a dynamic reactive power compensator (STATCOM), and named PV-STATCOM. The field demonstration was performed on a 10 kW PV solar farm installed in the utility network of Bluewater Power Distribution Corporation, in Sarnia, Ontario. It is demonstrated that the solar farm autonomously transforms into a STATCOM and ensures continuous stable operation of a critical induction motor during large disturbances which would otherwise destabilize the motor. The PV-STATCOM is thus shown to be a new FACTS device STATCOM which provides a 24/7 dynamic voltage control functionality as a STATCOM but is about 50 times less costly than an actual equivalent sized STATCOM. The PV-STATCOM is further demonstrated to be a new smart inverter which operates much faster than a conventional smart inverter and also during nighttime, which present-day smart inverters do not. Shutdown of critical induction motors used in industries such as petrochemicals, process control, mining, automotive, medicines, etc. can result in significant financial loss to the industries. This novel functionality of critical motor stabilization by solar farms as PV-STATCOM can potentially open a substantial new revenue earning opportunity for solar farms in addition to generation of active power. This paper presents the first stage results of field demonstration of PV-STATCOM technology on 13thDec. 2016, in an ongoing project.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".