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Titlebook: Online Algorithms for Optimal Energy Distribution in Microgrids; Yu Wang,Shiwen Mao,R. Mark Nelms Book 2015 The Editor(s) (if applicable)

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书目名称Online Algorithms for Optimal Energy Distribution in Microgrids
编辑Yu Wang,Shiwen Mao,R. Mark Nelms
视频video
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
丛书名称SpringerBriefs in Applied Sciences and Technology
图书封面Titlebook: Online Algorithms for Optimal Energy Distribution in Microgrids;  Yu Wang,Shiwen Mao,R. Mark Nelms Book 2015 The Editor(s) (if applicable)
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
关键词Demand Response; Energy Management; Microgrid; Online Algorithm in Energy; Smart Grid
版次1
doihttps://doi.org/10.1007/978-3-319-17133-3
isbn_softcover978-3-319-17132-6
isbn_ebook978-3-319-17133-3Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Distributed Online Algorithm for Optimal Energy Distribution in Connected Microgrids,p. .. In this chapter, we take into account more practical factors, such as the user privacy and the distributed control manner. Based on the model introduced in National Institute of Standard and Technology, we first present a formulation that captures the key design factors such as user’s utility,
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Open Problems of Energy Management in Microgrids, are required for the MG when connected and islanded. Energy management in islanded mode is more difficult than the connected mode because of the lack of an infinite power bus and fluctuated distributed generation, which also leaves many problems open for research. Forecasting in islanded MGs and en
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