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Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability...

Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3cea5215b0a241bf93884edb59b150f1

Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability Analysis

About this item

Full title

Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability Analysis

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2021-11, Vol.14 (22), p.7801

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In this paper, the problem of frequency regulation in the multi-area power systems with demand response, energy storage system (ESS) and renewable energy generators is studied. Dissimilarly to most studies in this field, the dynamics of all units in all areas are considered to be unknown. Furthermore time-varying solar radiation, wind speed dynamic...

Alternative Titles

Full title

Frequency Regulation System: A Deep Learning Identification, Type-3 Fuzzy Control and LMI Stability Analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3cea5215b0a241bf93884edb59b150f1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3cea5215b0a241bf93884edb59b150f1

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en14227801

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