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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 OpenAlexaff
Bita Arabsalmanabadi, Alireza Javadi, Kamal Al‐Haddad

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations13
Published2017
Admission routes1
Has abstractyes

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