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Record W2915048479 · doi:10.1109/tpwrs.2019.2895573

Microgrid Dispatch With Frequency-Aware Islanding Constraints

2019· article· en· W2915048479 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 · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Saskatchewan
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsIslandingMicrogridEconomic dispatchAutomatic frequency controlControl theory (sociology)Frequency regulationScheme (mathematics)Computer sciencePower system simulationPower (physics)Electric power systemDistributed generationControl engineeringEngineeringReliability engineeringMathematical optimizationControl (management)TelecommunicationsElectrical engineeringMathematicsRenewable energy

Abstract

fetched live from OpenAlex

This letter describes an enhanced multi-period dispatch model for microgrids, in which frequency-aware islanding constraints are established to ensure microgrids with the capability to ride through unplanned islanding events. Rather than specifying the upward/downward primary reserve requirements as fixed amounts, the proposed dispatch scheme determines the primary reserve requirements by explicitly simulating under- or over-frequency dynamics caused by potential islanding events. To remove the nonlinearity, a two-stage solution strategy is proposed. Case studies demonstrate the effectiveness of the proposed microgrid dispatch scheme.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.754

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 head0.003
GPT teacher head0.164
Teacher spread0.160 · 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