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Distributed Optimization with Application to Power Systems and Control
- Publication Year :
- 2022
- Publisher :
- Karlsruhe: KIT Scientific Publishing, 2022.
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-7315-1180-9
3-7315-1180-0 - ISBNs :
- 9783731511809 and 3731511800
- Database :
- OAPEN Library
- Notes :
- ONIX_20221205_9783731511809_6
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.59833
- Document Type :
- book
- Full Text :
- https://doi.org/10.5445/KSP/1000144792