Distributed Optimization with Application to Power Systems and Control

Distributed Optimization with Application to Power Systems and Control

Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized—all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization ove...

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Engelmann, Alexander
Year of Publication:2022
Language:English
Physical Description:1 electronic resource (226 p.)
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spelling Engelmann, Alexander auth
Distributed Optimization with Application to Power Systems and Control
Karlsruhe KIT Scientific Publishing 2022
1 electronic resource (226 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized—all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization.
English
Maths for computer scientists bicssc
Verteilte Optimierung
Dezentrale Optimierung
ALADIN
ADMM
Optimal Power Flow
distributed optimization
decentralized optimization
optimal power flow
3-7315-1180-0
language English
format eBook
author Engelmann, Alexander
spellingShingle Engelmann, Alexander
Distributed Optimization with Application to Power Systems and Control
author_facet Engelmann, Alexander
author_variant a e ae
author_sort Engelmann, Alexander
title Distributed Optimization with Application to Power Systems and Control
title_full Distributed Optimization with Application to Power Systems and Control
title_fullStr Distributed Optimization with Application to Power Systems and Control
title_full_unstemmed Distributed Optimization with Application to Power Systems and Control
title_auth Distributed Optimization with Application to Power Systems and Control
title_new Distributed Optimization with Application to Power Systems and Control
title_sort distributed optimization with application to power systems and control
publisher KIT Scientific Publishing
publishDate 2022
physical 1 electronic resource (226 p.)
isbn 1000144792
3-7315-1180-0
illustrated Not Illustrated
work_keys_str_mv AT engelmannalexander distributedoptimizationwithapplicationtopowersystemsandcontrol
status_str n
ids_txt_mv (CKB)5840000000218142
(oapen)https://directory.doabooks.org/handle/20.500.12854/94466
(EXLCZ)995840000000218142
carrierType_str_mv cr
is_hierarchy_title Distributed Optimization with Application to Power Systems and Control
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