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Record W2391412580

Study of the establishment of DC voltage and start strategy of UPQC

2012· article· en· W2391412580 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
TopicEngineering and Test Systems
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCapacitorCompensation (psychology)VoltageMATLABSequence (biology)EngineeringPower (physics)Control theory (sociology)Computer scienceElectronic engineeringControl engineeringElectrical engineeringControl (management)Artificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Unified power quality conditioner (UPQC) is a kind of comprehensive power quality compensation equipment with complex circuit and structure. Starting UPQC involves the establishment of the DC side capacitance voltage, logical sequence of series, parallel compensator and load, namely each part of UPQC must have a certain of start time sequence and logic control strategy. This paper discusses three establishing methods of the capacitor voltage on DC side of UPQC, which can be considered as DC power, and analyzes their advantages and disadvantages, too. Then the control logic of UPQC starting, namely the order of power supply, series and parallel compensator, and load, is discussed based on the different capacitor voltage establishment methods. The reason of adopting these switching sequences is analyzed and the detailed start logic diagram is drawn. Finally, different switching sequences are simulated by MATLAB/Simulink. The simulation results show that the proposed strategy is effective. This work is supported by National Natural Science Foundation of China (No. 50807049).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.172

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 head0.016
GPT teacher head0.209
Teacher spread0.193 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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