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PV Array Generation Based Three Phase Grid Tied EV Charging Station with Power Quality Improvement Capability

2021· article· en· W4312291697 on OpenAlexaff
Vandana Jain, Bhim Singh, Ambrish Chandra, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Vehicles and Infrastructure
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsPhotovoltaic systemGridElectrical engineeringBattery (electricity)Charging stationGrid-connected photovoltaic power systemMaximum power point trackingVoltagePower (physics)Computer scienceAutomotive engineeringElectronic engineeringEngineeringElectric vehiclePhysics

Abstract

fetched live from OpenAlex

This work presents the EV charging station with power quality improvement features. The solar PV (Photovoltaic) and the grid are utilized for the charging of the battery of EV (Electrical Vehicle). The local loads are also fed through the PV array power and the EV battery, if required along with the grid. The EV based charging station is synchronized to the grid to ensure the continuity of the power to the local loads. The positive sequence components of the grid voltages are estimated for the calculation of the unit templates in case of unbalanced or distorted grid voltages for improving the grid power quality. The control strategy of the EV based charging station is intended to accomplish proper power transfer between the energy sources while extracting the peak power from the PV array. The charging station is modeled and validated by conducting tests on a prototype developed in the laboratory.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.787

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)0.0010.000

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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

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