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Distributed Optimization with Application to Power Systems and Control

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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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Bibliografski detalji
Glavni autor: Engelmann, Alexander (auth)
Format: Elektronički Poglavlje knjige
Jezik:engleski
Izdano: Karlsruhe KIT Scientific Publishing 2022
Teme:
Maths for computer scientists
Verteilte Optimierung
Dezentrale Optimierung
ALADIN
ADMM
Optimal Power Flow
distributed optimization
decentralized optimization
optimal power flow
Online pristup:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Opis
Sažetak: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.
Opis fizičkog objekta:1 electronic resource (226 p.)
ISBN:KSP/1000144792
9783731511809
Pristup:Open Access

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