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Record W2764592786 · doi:10.1109/tpwrs.2003.821473

An Investigation on the Reactive Power Support Service Needs of Power Producers

2004· article· en· W2764592786 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Systems · 2004
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAC powerElectric power systemGenerator (circuit theory)Power (physics)Compensation (psychology)Profit (economics)Volt-ampere reactiveComputer sciencePower-flow studyService (business)Electrical engineeringEngineeringBusinessVoltageEconomicsMicroeconomicsMarketingPhysics

Abstract

fetched live from OpenAlex

Reactive power is an important system support service in the current power market. Power producers or generators have the opportunity to offer this service to make a profit. Given the fact that a generator needs reactive power to transmit its own active power, however, it is possible that certain generators cannot support a system even if they are generating reactive power. This paper investigates such a phenomenon and proposes a method to determine the minimum amount of reactive power (Q/sub min/) required for a given generator. If a generator cannot supply this minimum amount, it actually draws reactive power support from the system to facilitate its own active power selling activity. Compensation to a generator's reactive power output should be made only to the amount that is above the Q/sub min/ amount. The proposed ideas are illustrated with simple systems in this paper and tested on a real-life power system. The test results verified the validity of the proposed concept and method.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.205
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it