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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| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
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KIT Scientific Publishing
2022
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| Fáttát: | |
| Liŋkkat: | ONIX_20221205_9783731511809_6 |
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| _version_ | 1869530964981448704 |
|---|---|
| author | Engelmann, Alexander |
| author_browse | Engelmann, Alexander |
| author_facet | Engelmann, Alexander |
| author_sort | Engelmann, Alexander |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-94466 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-944662025-08-13T13:41:53Z Distributed Optimization with Application to Power Systems and Control Engelmann, Alexander Verteilte Optimierung Dezentrale Optimierung ALADIN ADMM Optimal Power Flow distributed optimization decentralized optimization optimal power flow thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists 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. 2022-12-06T04:03:25Z 2022-12-06T04:03:25Z 2022-12-05T15:40:35Z 2022 book ONIX_20221205_9783731511809_6 https://library.oapen.org/handle/20.500.12657/59833 9783731511809 https://directory.doabooks.org/handle/20.500.12854/94466 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/59833/1/9783731511809.pdf https://library.oapen.org/bitstream/20.500.12657/59833/1/9783731511809.pdf https://library.oapen.org/bitstream/20.500.12657/59833/1/9783731511809.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000144792 10.5445/KSP/1000144792 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731511809 AG Universitätsverlage KIT Scientific Publishing 226 Karlsruhe open access |
| spellingShingle | Verteilte Optimierung Dezentrale Optimierung ALADIN ADMM Optimal Power Flow distributed optimization decentralized optimization optimal power flow thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists Engelmann, Alexander Distributed Optimization with Application to Power Systems and Control |
| 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_short | Distributed Optimization with Application to Power Systems and Control |
| title_sort | distributed optimization with application to power systems and control |
| topic | Verteilte Optimierung Dezentrale Optimierung ALADIN ADMM Optimal Power Flow distributed optimization decentralized optimization optimal power flow thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists |
| topic_facet | Verteilte Optimierung Dezentrale Optimierung ALADIN ADMM Optimal Power Flow distributed optimization decentralized optimization optimal power flow thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists |
| url | ONIX_20221205_9783731511809_6 |
| work_keys_str_mv | AT engelmannalexander distributedoptimizationwithapplicationtopowersystemsandcontrol |