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Probabilistic load flow with non-Gaussian correlated random variables using Gaussian mixture models

Probabilistic load flow with non-Gaussian correlated random variables using Gaussian mixture models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1628901688

Probabilistic load flow with non-Gaussian correlated random variables using Gaussian mixture models

About this item

Full title

Probabilistic load flow with non-Gaussian correlated random variables using Gaussian mixture models

Publisher

Stevenage: Institution of Engineering and Technology

Journal title

IET generation, transmission & distribution, 2012-07, Vol.6 (7), p.701-709

Language

English

Formats

Publication information

Publisher

Stevenage: Institution of Engineering and Technology

More information

Scope and Contents

Contents

This study proposes the use of Gaussian mixture models to represent non-Gaussian correlated input variables, such as wind power output or aggregated load demands in the probabilistic load flow problem. The algorithm calculates the marginal distribution of any bus voltage or power flow as a sum of Gaussian components obtained from multiple weighted...

Alternative Titles

Full title

Probabilistic load flow with non-Gaussian correlated random variables using Gaussian mixture models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1628901688

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1628901688

Other Identifiers

ISSN

1751-8687

E-ISSN

1751-8695

DOI

10.1049/iet-gtd.2011.0545

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