MétaCan
Menu
Back to cohort
Record W2786090410 · doi:10.1109/pesgm.2017.8274113

Coordinated control of multiple voltage balancers in a Bipolar DC microgrid

2017· article· en· W2786090410 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 Alberta
Fundersnot available
KeywordsVoltage droopControl theory (sociology)MicrogridVoltageFeed forwardConvertersVoltage regulationComputer scienceVoltage sourceVoltage referenceResistive touchscreenObserver (physics)Voltage dropConstant currentElectrical engineeringEngineeringControl (management)PhysicsControl engineering

Abstract

fetched live from OpenAlex

For the neutral-point voltage balancing control in a bipolar dc microgrid, a coordinated control strategy which is composed of droop method and disturbance observer based current feed-forward has been proposed for parallel operation of multiple voltage balancers. With the observer and only the local measurements, the output current of the voltage balancer can be quickly tracked without any additional current sensors. Through the estimated value, dc voltage droop control and current feedforward can be well designed, with the purpose to realize unbalanced current sharing and plug-play feature with no communications, and to improve the dynamic and stability of neutral-point voltage balancing control respectively. The performance of the presented control has been verified in a prototype bipolar dc microgrid including a dc simulated voltage source, two voltage balancers, resistive dc loads and a dc-dc converter based constant power load.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.385

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 head0.189
Teacher spread0.185 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicMicrogrid Control and OptimizationFrench-language works237,207