MétaCan
Menu
Back to cohort
Record W1988888488 · doi:10.1109/tpwrs.2012.2223491

Voltage and Reactive Power Impacts on Successful Operation of Islanded Microgrids

2012· article· en· W1988888488 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 · 2012
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMicrogridDispatchable generationAC powerProbabilistic logicReliability (semiconductor)VoltageWind powerReliability engineeringPower (physics)Voltage optimisationEngineeringComputer scienceElectric power systemControl theory (sociology)Control engineeringDistributed generationRenewable energyElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper proposes a probabilistic technique to evaluate the success of islanded microgrids taking into consideration the impacts of voltage and reactive power constraints and the special features and operational characteristics of both dispatchable and wind distributed generators in islanded microgrids. New adequacy and reliability indices are proposed to account for the effect of voltage and reactive power constraints. To facilitate these studies, the proposed technique employs a microgrid model that reflects the special characteristics of microgrid operation. Simulation studies have been carried out to validate the proposed technique. The simulation results show that voltage and reactive power constraints have considerable effects on the microgrids successful operation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.199
Teacher spread0.193 · 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