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Record W2127098669 · doi:10.1109/epec.2009.5420953

Virtual synchronous generator control in autonomous wind-diesel power systems

2009· article· en· W2127098669 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 institutionsConcordia University
Fundersnot available
KeywordsInertiaWind powerElectric power systemControl theory (sociology)Energy storagePermanent magnet synchronous generatorAutomatic frequency controlComputer scienceSynchronous motorEngineeringAutomotive engineeringPower (physics)Control engineeringControl (management)Electrical engineeringVoltagePhysics

Abstract

fetched live from OpenAlex

This paper addresses the problem of frequency stability in an autonomous wind-diesel power system with energy storage. At high wind penetration levels and due to the lack of controlled rotating machines, wind fluctuation might cause unacceptable frequency excursions in the system and they need to be mitigated. A virtual synchronous machine control is designed to emulate a virtual inertia via power injection from/to the energy storage system. The impact of this control strategy on the system is analyzed. Based on the case study, the major conclusion is that virtual inertia control reduces the maximum rotor speed deviation, but in exchange for increasing the inertia, the system becomes slower and more oscillatory. Possible solutions for the latter are pointed out, but further work is required. Parameters for sizing the energy storage are proposed.

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 score0.711
Threshold uncertainty score0.564

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 head0.166
Teacher spread0.163 · 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

Citations134
Published2009
Admission routes1
Has abstractyes

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