Convertible static compensator performance studies on the NY state transmission system
Bibliographic record
Abstract
New York Power Authority is installing a new flexible AC transmission system (FACTS) controller, known as the convertible static compensator (CSC), at Marcy 345 kV substation. Two 100 MVA converters are installed. Through one 200 MVA shunt and two 100 MVA series transformers, the converters may be connected to each other and to the system in 11 different configurations. This arrangement of the converters allows STATCOM, SSSC, UPFC, or IPFC deployment at the bus and two of the lines exiting the substation, namely, Marcy-Coopers Corners and Marcy-New Scotland 345 kV lines. Voltage, small signal, and transient stability simulations are conducted using the developed models of these configurations within the user-defined capability of the EPRI's power system analysis package. The focus of the studies is on finding out which configuration of the CSC provides the highest performance improvement from all stability points of view. Modulation controls are designed to improve inter-area oscillation damping. In general, all CSC configurations improve voltage, small signal, and transient stability margins of the system. The performance of the individual devices resulting from CSC configurations and their capabilities in the studied cases is presented. It is shown that the CSC in conjunction with three fixed capacitor banks at three other substations can increase the system power transfer limit by up to 310 MW.
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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 | 0.001 |
| 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 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".