Merging Optimization and Control in Power Systems

Physical and Cyber Restrictions in Distributed Frequency Control and Beyond

de

, , ,



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
135,25

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
Merging Optimization and Control in Power Systems
A novel exploration of distributed control in power systems with insightful discussions of physical and cyber restrictions
In Merging Optimization and Control in Power Systems an accomplished team of engineers deliver a comprehensive introduction to distributed optimal control in power systems. The book re-imagines control design within the framework of cyber-physical systems with restrictions in both the physical and cyber spaces, addressing operational constraints, non-smooth objective functions, rapid power fluctuations caused by renewable generations, partial control coverage, communication delays, and non-identical sampling rates.
This book bridges the gap between optimization and control in two ways. First, optimization-based feedback control is explored. The authors describe feedback controllers which automatically drive system states asymptotically to specific, desired optimal working points. Second, the book discusses feedback-based optimization. Leveraging the philosophy of feedback control, the authors envision the online solving of complicated optimization and control problems of power systems to adapt to time-varying environments.
Readers will also find: A thorough argument against the traditional and centralized hierarchy of power system control in favor of the merged approach described in the book Comprehensive explorations of the fundamental changes gripping the power system today, including the increasing penetration of renewable and distributed generation, the proliferation of electric vehicles, and increases in load demand Data, tables, illustrations, and case studies covering realistic power systems and experiments In-depth examinations of physical and cyber restrictions, as well as the robustness and adaptability of the proposed model
Perfect for postgraduate students and researchers with the prerequisite knowledge of power system analysis, operation, and dynamics, convex optimization theory, and control theory, Merging Optimization and Control in Power Systems is an advanced and timely treatment of distributed optimal controller design.
Pages
432 pages
Collection
IEEE Press Series on Control Systems Theory and Applications
Parution
2022-08-10
Marque
Wiley-IEEE Press
EAN papier
9781119827924
EAN PDF
9781119827931

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
432
Taille du fichier
7455 Ko
Prix
135,25 €
EAN EPUB
9781119827955

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
432
Taille du fichier
25856 Ko
Prix
135,25 €