Distributed Optimization with Application to Power Systems and Control

• Autore: Engelmann Alexander
• Pubblicazione: Karlsruhe, : KIT Scientific Publishing, 2022
• Descrizione fisica: 1 online resource (226 p.)
• Soggetto topico: Maths for computer scientists
• Soggetto non controllato: ADMM; ALADIN; decentralized optimization; Dezentrale Optimierung; distributed optimization; optimal power flow; Optimal Power Flow; Verteilte Optimierung
• 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