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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems (Springer Theses) - Hardcover
- PublisherSpringer
- Publication date2021
- ISBN 10 3030898024
- ISBN 13 9783030898021
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages171
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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems (Springer Theses)
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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems (Springer Theses)
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Non-centralized Optimization-based Control Schemes for Large-scale Energy Systems
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Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030898024
ISBN 13: 9783030898021
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Hardcover
Seller: moluna, Greven, Germany
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The economic dispatch problem, which is formulated as a convex optimization problem with edge-based coupling constraints, is solved by using methodologies in distributed optimization over time-varying networks, together with distributed model predictive con. Seller Inventory # 510444943
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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems
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Springer International Publishing Dez 2021, 2021
ISBN 10: 3030898024
ISBN 13: 9783030898021
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the development of innovative non-centralized optimization-based control schemes to solve economic dispatch problems of large-scale energy systems. Particularly, it focuses on communication and cooperation processes of local controllers, which are integral parts of such schemes. The economic dispatch problem, which is formulated as a convex optimization problem with edge-based coupling constraints, is solved by using methodologies in distributed optimization over time-varying networks, together with distributed model predictive control, and system partitioning techniques. At first, the book describes two distributed optimization methods, which are iterative and require the local controllers to exchange information with each other at each iteration. In turn, it shows that the sequence produced by these methods converges to an optimal solution when some conditions, which include how the controllers must communicate and cooperate, are satisfied. Further, it proposesan information exchange protocol to cope with possible communication link failures. Finally, the proposed distributed optimization methods are extended to the cases with random communication networks and asynchronous updates. Overall, this book presents a set of improved predictive control and distributed optimization methods, together with a rigorous mathematical analysis of each proposed algorithms. It describes a comprehensive approach to cope with communication and cooperation issues of non-centralized control schemes and show how the improved schemes can be successfully applied to solve the economic dispatch problems of large-scale energy systems. 172 pp. Englisch. Seller Inventory # 9783030898021
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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems
Published by
Springer International Publishing, 2021
ISBN 10: 3030898024
ISBN 13: 9783030898021
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the development of innovative non-centralized optimization-based control schemes to solve economic dispatch problems of large-scale energy systems. Particularly, it focuses on communication and cooperation processes of local controllers, which are integral parts of such schemes. The economic dispatch problem, which is formulated as a convex optimization problem with edge-based coupling constraints, is solved by using methodologies in distributed optimization over time-varying networks, together with distributed model predictive control, and system partitioning techniques. At first, the book describes two distributed optimization methods, which are iterative and require the local controllers to exchange information with each other at each iteration. In turn, it shows that the sequence produced by these methods converges to an optimal solution when some conditions, which include how the controllers must communicate and cooperate, are satisfied. Further, it proposesan information exchange protocol to cope with possible communication link failures. Finally, the proposed distributed optimization methods are extended to the cases with random communication networks and asynchronous updates. Overall, this book presents a set of improved predictive control and distributed optimization methods, together with a rigorous mathematical analysis of each proposed algorithms. It describes a comprehensive approach to cope with communication and cooperation issues of non-centralized control schemes and show how the improved schemes can be successfully applied to solve the economic dispatch problems of large-scale energy systems. Seller Inventory # 9783030898021
Quantity: 1 available