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Record W3097384719 · doi:10.18280/ejee.224-505

Power Quality Investigation by Reduced Switching UPQC

2020· article· en· W3097384719 on OpenAlex
Pradeep Kumar

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of Electrical Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsnot available
Fundersnot available
KeywordsTotal harmonic distortionTopology (electrical circuits)MATLABPower (physics)Power qualityVoltageControl theory (sociology)Computer scienceControl (management)Electronic engineeringEngineeringElectrical engineeringPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, nine switches UPQC topology with different control techniques have been depicted and compared their performances to accomplish clear inspection of the best control techniques. As conventional UPQC having twelve switches of six legs enhances the switching losses, circuit complication, costly etc. Hence nine switches UPQC topology is intended to reduce the switching losses, complexity, size and cost. This proposed topology has only three legs with three switches in each leg making total number of nine switches. The three control techniques such as Unit vector template, PQ theory and Synchronous reference frame theory have been employed in the nine switch UPQC topology. The simulation has been carried out separately for each control technique in MATLAB/SIMPOWER environment and results have been verified for higher efficiency of nine switch UPQC topology. The comparative THD of source currents and load voltages under these control techniques have been analysed. The obtained THD values are below 5% as per IEEE-519 standard.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.024
GPT teacher head0.218
Teacher spread0.195 · 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