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Collaborative Optimization of Electric Vehicles Based on MultiAgent Variant Roth–Erev Algorithm

Collaborative Optimization of Electric Vehicles Based on MultiAgent Variant Roth–Erev Algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8de3a066273a4fd6bdc30cac54b7a3ba

Collaborative Optimization of Electric Vehicles Based on MultiAgent Variant Roth–Erev Algorithm

About this item

Full title

Collaborative Optimization of Electric Vehicles Based on MultiAgent Variant Roth–Erev Algorithm

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2022-01, Vol.15 (1), p.125

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

With the implementation of the carbon neutral policy, the number of electric vehicles (EVs) is increasing. Thus, it is urgently needed to manage the charging and discharging behavior of EVs scientifically. In this paper, EVs are regarded as agents, and a multiagent cooperative optimization scheduling model based on Roth–Erev (RE) algorithm is propo...

Alternative Titles

Full title

Collaborative Optimization of Electric Vehicles Based on MultiAgent Variant Roth–Erev Algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8de3a066273a4fd6bdc30cac54b7a3ba

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8de3a066273a4fd6bdc30cac54b7a3ba

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en15010125

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