Distributed Optimization with Application to Power Systems and Control

• Autore: Engelmann Alexander
• Pubblicazione: Karlsruhe, : KIT Scientific Publishing, 2022
• Descrizione fisica: 1 electronic resource (226 p.)
• Soggetto topico: Maths for computer scientists
• Soggetto non controllato: Verteilte Optimierung; Dezentrale Optimierung; ALADIN; ADMM; Optimal Power Flow; distributed optimization; decentralized optimization; optimal power flow
• Sommario/riassunto: 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.
• Titolo autorizzato: Distributed Optimization with Application to Power Systems and Control
• ISBN: 1000144792
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910634082603321
• Lo trovi qui: Univ. Federico II