Log in to save to my catalogue

Continuous estimation of power system inertia using convolutional neural networks

Continuous estimation of power system inertia using convolutional neural networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8f07928897b4554b38546d6a0ac0e94

Continuous estimation of power system inertia using convolutional neural networks

About this item

Full title

Continuous estimation of power system inertia using convolutional neural networks

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2023-07, Vol.14 (1), p.4440-4440, Article 4440

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Inertia is a measure of a power system’s capability to counteract frequency disturbances: in conventional power networks, inertia is approximately constant over time, which contributes to network stability. However, as the share of renewable energy sources increases, the inertia associated to synchronous generators declines, which may pose a threat...

Alternative Titles

Full title

Continuous estimation of power system inertia using convolutional neural networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d8f07928897b4554b38546d6a0ac0e94

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8f07928897b4554b38546d6a0ac0e94

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-023-40192-2

How to access this item