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Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefl...

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefl...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2593747472

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms

About this item

Full title

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms

Publisher

London: Springer London

Journal title

Neural computing & applications, 2021-12, Vol.33 (24), p.17185-17208

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

The classical maximum power point tracking (MPPT) approaches are powerful under uniform irradiance conditions. However, under partial shading conditions, they fail to find the global maximum power point (GMPP) and are trapped in one of the local maximum power points (MPPs), resulting in loss of power. This paper presents an experimental investigati...

Alternative Titles

Full title

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2593747472

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2593747472

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-021-06310-1

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