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Record W2612320259 · doi:10.1109/icit.2017.7915589

Harmonic power flow in unbalanced and polluted radial distribution systems

2017· article· en· W2612320259 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
TopicOptimal Power Flow Distribution
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsTotal harmonic distortionRobustness (evolution)AC powerElectric power systemMATLABCapacitorHarmonic analysisPower-flow studyVoltageComputer scienceTransmission systemPower factorElectronic engineeringControl theory (sociology)Power flowHarmonicsHarmonicPower (physics)EngineeringElectrical engineeringTransmission (telecommunications)AcousticsPhysics

Abstract

fetched live from OpenAlex

The main purpose of this paper is the harmonic power flow in multiphase unbalanced radial distribution systems in the presence of non-linear loads and reactive components. It is important to have analytical methodologies to assess the impact and consequences of non-linear loads and shunt capacitors on voltage profile and harmonic distortion in each bus in the power systems. The presented power flow is entirely different from conventional methods applied in transmission power systems. The proposed method in this paper is based on graph theory, and injection current technique. A standard test system, IEEE-13 bus radial unbalanced, is considered for implementation and explanation of the method. To check the accuracy and efficiency of the method, it is also tested on IEEE 34, 37 & 123 bus test feeders. The comparison of results approves robustness and reliability of the method. MATLAB M-file is used to obtain results.

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: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.498

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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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