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Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Con...

Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Con...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3141681437

Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Converters

About this item

Full title

Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Converters

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Current ripple minimization is one of the challenges in parallel converters to increase the capacitor lifetime in various applications. In this paper, a deep neural network-based phase-shifting (PS) technique is proposed for parallel-connected buck converters to minimize the amplitude of a selective harmonic component and facilitate a classic optim...

Alternative Titles

Full title

Data-Driven Approach for Accelerating Selective Harmonic Elimination Algorithm in Parallel Power Converters

Authors, Artists and Contributors

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3141681437

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3141681437

Other Identifiers

E-ISSN

2331-8422

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