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Solar-Powered Isolated Bidirectional DC–AC Converter for Microgrid and Distributed Energy Systems

2025· article· W7128793554 on OpenAlexaff
Y. Hari Krishna, K. Kiran, A. Venkata Ramana, D Arun Prasad, R. Senthil Kumar, K. M. D. Rajesh Babu

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsInductanceConvertersMicrogridPhotovoltaic systemTransformerInterfacingVoltageTotal harmonic distortionHarmonic

Abstract

fetched live from OpenAlex

The reliable operation of microgrids and distributed energy systems requires efficient bidirectional conversion between DC and AC domains under varying voltage levels. Conventional converters suffer from limited efficiency and restricted voltage conversion capability when interfacing with solar photovoltaic sources. To address limitation, an isolated bidirectional DC–AC converter has been developed, incorporating a high-frequency transformer with a turns ratio of 5:25, resonance inductance of 46 µH, and mutual inductance of 190 µH. The proposed design enables wide voltage conversion with both step-up and step-down operation, governed by modulation indices formulated through resonant tank analysis. Hardware validation demonstrates stable operation with zero-voltage switching (ZVS) at full load, significantly reducing switching losses. Experimental results indicate that in AC–DC mode, the system achieves a peak efficiency of 95.2% at a rated power of 800 W, while in DC–AC mode, efficiency remains above 93% across the operating range. Harmonic analysis confirms that total harmonic distortion (THD) is maintained below 3.5% in AC–DC conversion and 4.2% in DC–AC conversion, ensuring compliance with grid standards. These results establish the proposed isolated bidirectional converter as a robust and cost-effective solution for renewable-powered systems, offering high efficiency, reliable voltage regulation, and suitability for future smart grid and electric vehicle charging applications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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)0.0040.001

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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), 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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