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Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turb...

Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turb...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_165b9199e0e444d09930051d3a45482b

Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turbines

About this item

Full title

Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turbines

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.711-25, Article 711

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

This study presents a novel optimization algorithm known as the Energy Valley Optimizer Approach (EVOA) designed to effectively develop six optimal adaptive fuzzy logic controllers (AFLCs) comprising 30 parameters for a grid-tied doubly fed induction generator (DFIG) utilized in wind power plants (WPP). The primary objective of implementing EVOA-ba...

Alternative Titles

Full title

Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turbines

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_165b9199e0e444d09930051d3a45482b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_165b9199e0e444d09930051d3a45482b

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-82382-y

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