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 Converters
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
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
Author / Creator
Identifiers
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