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Inductance Sharing Using Common-Mode Power Exchange in LCL Grid-Connected Inverters

2025· article· W4415969000 on OpenAlexafffund
Ibrahim Amezyane, Narayan C. Kar, Caniggia Viana

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Windsor
FundersMitacs
KeywordsInductancePower (physics)InductorInverterFilter (signal processing)GridEnergy storageEquivalent series inductanceControl theory (sociology)

Abstract

fetched live from OpenAlex

Conventional grid-connected voltage-source inverters (VSI) with power sources such as photovoltaic (PV) arrays or energy storage units usually require a two-stage power transfer. The first is a DC-DC stage where the energy flows from the primary source to the DC-link or vice versa. The second stage is the grid-connected stage, where the inverter is synchronized with the grid to achieve the desired power flow. In both stages, inductance is an essential component that can become considerably expensive and bulky as the power rating of the system increases. This paper introduces a novel method that eliminates the set of inductors used in the DC-DC stage in grid-connected systems with LCL filter configuration. This is achieved by integrating the DC-DC stage in the common mode (CM) of the LC inverter-side circuit while controlling the power flow in dual-active bridge (DAB) operation. The proposed method can reduce the cost associated with the inductance and decrease system footprint. This paper demonstrates the method, using Matlab simulations, in a single-phase application and verifies the results in an equivalent experimentation.

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 categoriesMeta-epidemiology (narrow)
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 score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.247
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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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