Enhancing the control of doubly fed induction generators using artificial neural networks in the pre...
Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles
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Publisher
United States: Public Library of Science
Journal title
Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
This study tackles the complex task of integrating wind energy systems into the electric grid, facing challenges such as power oscillations and unreliable energy generation due to fluctuating wind speeds. Focused on wind energy conversion systems, particularly those utilizing double-fed induction generators (DFIGs), the research introduces a novel...
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Full title
Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles
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TN_cdi_doaj_primary_oai_doaj_org_article_50cfeca5ecbc4aeca7a9f16c27b4eeda
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_50cfeca5ecbc4aeca7a9f16c27b4eeda
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0300527
