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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Bibliographic Details
Main Author: Engelmann, Alexander (auth)
Format: Electronic Book Chapter
Language:English
Published: Karlsruhe KIT Scientific Publishing 2022
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520 |a 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. 
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653 |a Verteilte Optimierung 
653 |a Dezentrale Optimierung 
653 |a ALADIN 
653 |a ADMM 
653 |a Optimal Power Flow 
653 |a distributed optimization 
653 |a decentralized optimization 
653 |a optimal power flow 
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856 4 0 |a www.oapen.org  |u https://library.oapen.org/handle/20.500.12657/59833  |7 0  |z OAPEN Library: description of the publication