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Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks

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Published in:Autonomous Intelligent Systems
Format: Online Article RSS Article
Published: 2025
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container_title Autonomous Intelligent Systems
description
discipline_display Artificial Intelligence
discipline_facet Artificial Intelligence
format Online Article
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genre Journal Article
id rss_article:83240
institution FRELIP
journal_source_facet Autonomous Intelligent Systems
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
Artificial Intelligence
General
Artificial Intelligence
sub_discipline_display General
sub_discipline_facet General
subject_display Artificial Intelligence
General
Artificial Intelligence
Artificial Intelligence
General
Artificial Intelligence
subject_facet Artificial Intelligence
General
Artificial Intelligence
title Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
title_auth Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
title_full Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
title_fullStr Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
title_full_unstemmed Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
title_short Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
title_sort chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks
topic Artificial Intelligence
General
Artificial Intelligence
url https://link.springer.com/article/10.1007/s43684-025-00124-x