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Record W4412815252 · doi:10.52152/4549

Grid-Connected PV + Battery AC Nanogrid with EV Integration for Increased Resilience

2025· article· en· W4412815252 on OpenAlexaff
Mohammadmahdi Ghaderi, Luiz A. C. Lopes

Bibliographic record

VenueRenewable Energy and Power Quality Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsResilience (materials science)Battery (electricity)GridElectrical engineeringPhotovoltaic systemComputer scienceEngineeringPhysicsGeographyPower (physics)

Abstract

fetched live from OpenAlex

This work concerns a three-phase grid-connected AC nanogrid with PV generation and battery storage. The system is based on SMA Sunny Boy (SB) and Sunny Island (SI) inverters with a Data Manager for monitoring and control. It also includes an EV that can be charged through a standard 208V unidirectional charger when the grid is available. A low-cost single-phase unidirectional Vehicle-to-Home (V2H) inverter, that communicates with the BEMS of the EV, is available at the site. It can supply isolated loads but not to operate in parallel with the PV + battery three-phase system. To allow the EV to support the nano-grid, the V2H is connected through a fourth SI (SI4) to charge the stationary battery. An energy management scheme is proposed for extending load supply following a transition from grid connected mode to islanded mode. It includes not only EV battery support but also load shedding scheme to manage the SOC of the battery. Experimental results are presented.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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