| 書目名稱 | Online Algorithms for Optimal Energy Distribution in Microgrids |
| 編輯 | Yu Wang,Shiwen Mao,R. Mark Nelms |
| 視頻video | http://file.papertrans.cn/702/701503/701503.mp4 |
| 概述 | Maximizes reader insights into optimal energy distribution strategies for the microgrid in a smart grid environment.Reviews and analyzes the key recent research and trends in microgrid systems and mod |
| 叢書名稱 | SpringerBriefs in Applied Sciences and Technology |
| 圖書封面 |  |
| 描述 | .Presenting an optimal energy distribution strategy for microgrids in a smart grid environment, and featuring a detailed analysis of the mathematical techniques of convex optimization and online algorithms, this book provides readers with essential content on how to achieve multi-objective optimization that takes into consideration power subscribers, energy providers and grid smoothing in microgrids. Featuring detailed theoretical proofs and simulation results that demonstrate and evaluate the correctness and effectiveness of the algorithm, this text explains step-by-step how the problem can be reformulated and solved, and how to achieve the distributed online algorithm on the basis of a centralized offline algorithm. Special attention is paid to how to apply this algorithm in practical cases and the possible future trends of the microgrid and smart grid research and applications. Offering a valuable guide to help researchers and students better understand the new smart grid, this book will also familiarize readers with the concept of the microgrid and its relationship with renewable energy.. |
| 出版日期 | Book 2015 |
| 關(guān)鍵詞 | Demand Response; Energy Management; Microgrid; Online Algorithm in Energy; Smart Grid |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-17133-3 |
| isbn_softcover | 978-3-319-17132-6 |
| isbn_ebook | 978-3-319-17133-3Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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