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Cover Art
Author Wang, Yu, author.

Title Online algorithms for optimal energy distribution in microgrids / Yu Wang, Shiwen Mao, R. Mark Nelms.

Published Cham : Springer, [2015]


Location Call No. Status
Physical description 1 online resource : illustrations
Series SpringerBriefs in applied sciences and technology, 2191-530X
SpringerBriefs in applied sciences and technology.
Springer English/International eBooks 2015 - Full Set
Bibliography Includes bibliographical references
Contents Introduction -- System model and problem formulation -- Online and offline algorithms -- Distributed online algorithm -- Communication protocols -- Future work and open problems.
Summary 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.
Other author Mao, Shiwen, author.
Nelms, R. M., author.
SpringerLink issuing body.
Subject Smart power grids.
Electric power distribution -- Data processing.
Electronic books.
ISBN 9783319171333
3319171321 (print)
9783319171326 (print)
Standard Number 10.1007/978-3-319-17133-3