Log in to save to my catalogue

Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovol...

Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovol...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_797824d3f94f4d44972802d9ca551d44

Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovoltaic Generation

About this item

Full title

Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovoltaic Generation

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2020-01, Vol.10 (2), p.542

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Renewable generation sources like photovoltaic plants are weather dependent and it is hard to predict their behavior. This work proposes a methodology for obtaining a parameterized model that estimates the generated power in a photovoltaic generation system. The proposed methodology uses a genetic algorithm to obtain the mathematical model that bes...

Alternative Titles

Full title

Genetic Algorithm Methodology for the Estimation of Generated Power and Harmonic Content in Photovoltaic Generation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_797824d3f94f4d44972802d9ca551d44

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_797824d3f94f4d44972802d9ca551d44

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app10020542

How to access this item