A Detailed Presentation of an Innovative Local and Wide-Area Special Protection Scheme to Avoid Voltage Collapse: From Proof of Concept to Grid Implementation
Bibliographic record
Abstract
For more than a decade, Hydro-Québec Research Institute (IREQ) has been involved in different strategic research and development activities to maintain the stability and security of the Hydro-Québec network. An innovative project, so-called global and local control of compensators (GLCC), was initiated for wide-area and local control of dynamic shunt compensators such as static VAR compensators and synchronous condensers to increase its transfer capacity. The objective of the GLCC project is the development of a new special protection scheme (SPS) to maintain voltage stability after events resulting in large voltage drop using local and wide-area network measurements based on telecommunications and phasor measurement units. The core of the GLCC special protection scheme is the substation control unit (SCU) which includes all the intelligence of the whole GLCC control system. This paper presents the details of the functions of the SCU controller which has been designed, developed, and intensively tested by Hydro-Québec with a dedicated replica at IREQ power system simulation laboratory. Results of both hardware-in-the-loop real-time simulations and field tests showed the reliability, robustness and security of the SCU controller. On that basis, a deployment on Hydro-Québec network started to implement the GLCC SPS solution at all shunt compensator substations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".