| 書目名稱 | Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems | | 編輯 | W. Wicak Ananduta | | 視頻video | http://file.papertrans.cn/668/667069/667069.mp4 | | 概述 | Is nominated as an outstanding Ph.D. thesis by Universitat Politècnica de Catalunya.Presents new solutions for communication and cooperation issues of non-centralized optimization.Offers a rigorous ma | | 叢書名稱 | Springer Theses | | 圖書封面 |  | | 描述 | .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 an | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Distributed Augmented Lagrangian Method; Model Predictive Control Methods; Non‐centralized MPC Scheme; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-89803-8 | | isbn_softcover | 978-3-030-89805-2 | | isbn_ebook | 978-3-030-89803-8Series ISSN 2190-5053 Series E-ISSN 2190-5061 | | issn_series | 2190-5053 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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