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Impact of Plug-in Electric Vehicle Charging and Roof-top PVs on Distribution Transformer Health: A Case Study in Saskatoon, Canada

2023· article· en· W4388206904 on OpenAlexaffabout
Aman Samson Mogos, Xiaodong Liang, C. Y. Chung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Vehicles and Infrastructure
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRoofTransformerPlug-inDistribution transformerAutomotive engineeringElectric vehicleElectrical engineeringSpark plugEnvironmental scienceEngineeringComputer scienceAerospace engineeringPhysicsVoltageCivil engineering

Abstract

fetched live from OpenAlex

As the adoption of plug-in electric vehicles (PEVs) and rooftop photovoltaic (PV) systems continues to rise, understanding their combined impact on the health of distribution transformers becomes increasingly vital to ensure grid stability and longevity. In this paper, such combined impacts are investigated through a case study in Saskatoon, Canada. Using OpenDSS and MATLAB simulation, various PEV penetration levels and PV generation capacities are explored. Transformer heating dues to ambient temperature and loading is considered. The results show that the increased PEV adoption exacerbates the transformer stress, while the PV integration mitigates these effects, especially during summer, which highlights the need to encourage the rooftop PV adoption to balance the PEV charging demand on transformers. This paper offers valuable insights for electric utilities and policymakers to manage the grid infrastructure and promote sustainable energy practices.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.507

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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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 designObservational
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
Published2023
Admission routes2
Has abstractyes

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