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Record W1891656022 · doi:10.1109/ptc.2003.1304610

Control challenges of fuel cell-driven distributed generation

2004· article· en· W1891656022 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Waterloo
FundersKungliga Tekniska Högskolan
KeywordsControl theory (sociology)Fuel cellsSolid oxide fuel cellNonlinear systemPower (physics)Computer scienceDistributed power generationControl engineeringRobust controlGridSensitivity (control systems)Electricity generationDistributed generationWork (physics)Domain (mathematical analysis)EngineeringControl (management)Control systemElectronic engineeringMathematicsElectrical engineeringMechanical engineering

Abstract

fetched live from OpenAlex

This work discusses the load following capability of fuel cell-driven power plants. A linear model of a solid oxide fuel cell power plant is obtained and utilized for the design of robust controllers which enhance tracking response of the plant and reject disturbances originating from the distribution grid. Two robust controllers are synthesized applying the H/sub /spl infin// mixed-sensitivity optimization and their performance is validated by means of nonlinear time-domain simulations. The obtained results indicate that the disturbances can be successfully attenuated; however, the tracking response cannot be significantly improved without a modification of the design of the fuel cell power plant. The paper is concluded by a brief discussion on the physical limitations on the fuel cell output power ramp and possible solutions are outlined.

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 score0.970
Threshold uncertainty score0.235

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 head0.008
GPT teacher head0.170
Teacher spread0.162 · 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

Quick stats

Citations28
Published2004
Admission routes1
Has abstractyes

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