Non-centralized optimization-based control schemes for large-scale energy systems / W. Wicak Ananduta.
2022
TK1007 .A53 2022
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Title
Non-centralized optimization-based control schemes for large-scale energy systems / W. Wicak Ananduta.
Author
ISBN
9783030898038 (electronic bk.)
3030898032 (electronic bk.)
9783030898021
3030898024
3030898032 (electronic bk.)
9783030898021
3030898024
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color).
Item Number
10.1007/978-3-030-89803-8 doi
Call Number
TK1007 .A53 2022
Dewey Decimal Classification
621.31/7
Summary
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 proposes an 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.
Note
"Doctoral thesis accepted by Universitat Politècnica de Catalunya, Barcelona, Spain."
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Includes bibliographical references.
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text file
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 20, 2021).
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Springer theses.
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Table of Contents
Introduction
Non-centralized MPC-Based Economic Dispatch
Distributed Augmented Lagrangian Methods.
Non-centralized MPC-Based Economic Dispatch
Distributed Augmented Lagrangian Methods.