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Record W2127892758 · doi:10.1109/ccece.2006.277357

Interconnected Renewable Energy System in Utility - Unbalanced Analysis

2006· article· en· W2127892758 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 à Trois-Rivières
Fundersnot available
KeywordsMATLABRenewable energyComputer scienceThree-phaseGridEmtpControl theory (sociology)Power (physics)Iterative methodElectric power systemElectronic engineeringVoltageEngineeringElectrical engineeringAlgorithmMathematics

Abstract

fetched live from OpenAlex

This article presents a tool to calculate the three-phase unbalanced mode of the tension and the current in the North American distribution networks in the presence of integrated Renewable Energy System (RES). We examine firstly a test North America distribution network (the principal feeder is three-phase, the derivation is single-phase and the neutral is distributed and grounded regularly) including the point connected RES. Then a three-phase unbalanced power flow calculation, which is based on the configuration of the network and takes into account the point of single-phase power injection, is considered. This calculation shows the plan of tension and the passage of current through each phase and each node of the grid. Finally, an algorithm for the unbalance of the tension and the current based on an iterative loop and symmetrical components is coded and simulated in Matlab. The results obtained are tested and validated by comparing with those of the EMTP software which uses the traditional matrix method in his simulation.

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 score0.505
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.175
Teacher spread0.171 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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