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A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transie...

A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transie...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bec616393ab24092a9d1b28b8fc39e1b

A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transient Response, and Power Quality Enhancement of Hybrid Microgrids

About this item

Full title

A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transient Response, and Power Quality Enhancement of Hybrid Microgrids

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-06, Vol.23 (13), p.5973

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The growing demand for electricity driven by population growth and industrialization is met by integrating hybrid renewable energy sources (HRESs) into the grid. HRES integration improves reliability, reduces losses, and addresses power quality issues for safe and effective microgrid (MG) operation, requiring efficient controllers. In this regard,...

Alternative Titles

Full title

A Novel Prairie Dog-Based Meta-Heuristic Optimization Algorithm for Improved Control, Better Transient Response, and Power Quality Enhancement of Hybrid Microgrids

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bec616393ab24092a9d1b28b8fc39e1b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bec616393ab24092a9d1b28b8fc39e1b

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23135973

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