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Record W2145865884 · doi:10.1109/ccece.2014.6900924

Standalone SCIG-based wind energy conversion system using Z-source inverter with energy storage integration

2014· article· en· W2145865884 on OpenAlexaff
Z. Alnasir, Mehrdad Kazerani

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsWind powerPower optimizerInverterMaximum power point trackingVariable speed wind turbineEnergy storageElectrical engineeringGrid-tie inverterVoltageComputer scienceEngineeringAutomotive engineeringControl theory (sociology)Power (physics)Permanent magnet synchronous generatorPhysics

Abstract

fetched live from OpenAlex

Off-Grid small wind turbines provide a very attractive renewable energy source for remote communities and small businesses. Wind turbines using geared squirrel-cage induction generator are widely accepted due to robustness, simplicity, light weight and low cost. In contrast to commonly-used voltage-sourced inverters, Z-source inverters provide voltage boost and improve inverter reliability. This work develops a variable-speed wind energy conversion system using a squirrel-cage induction generator and a Z-source inverter as the interface with load side. The shoot-through mode of Z - source inverter is used to extract the maximum power from the wind turbine whilst modulation index is adjusted to produce the desired ac voltage at the load bus. A storage battery is integrated with the system through a bidirectional buck-boost DC/DC converter. The battery contributes to maintaining power balance and improvement of power quality by indirect control of the dc-side voltage of the inverter.

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.

How this classification was reachedexpand

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 score0.935
Threshold uncertainty score0.935

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 head0.169
Teacher spread0.161 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2014
Admission routes1
Has abstractyes

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