Online algorithms for optimal energy distribution in microgrids /

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Bibliographic Details
Author / Creator:Wang, Yu, author.
Imprint:Cham : Springer, [2015]
©2015
Description:1 online resource : illustrations.
Language:English
Series:SpringerBriefs in applied sciences and technology, 2191-530X
SpringerBriefs in applied sciences and technology.
Subject:Smart power grids.
Electric power distribution -- Data processing.
TECHNOLOGY & ENGINEERING -- Mechanical.
Electric power distribution -- Data processing.
Smart power grids.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11094312
Hidden Bibliographic Details
Other authors / contributors:Mao, Shiwen, author.
Nelms, R. M., author.
ISBN:9783319171333
331917133X
3319171321
9783319171326
9783319171326
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed June 3, 2015).
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 form:Printed edition: 9783319171326
Standard no.:10.1007/978-3-319-17133-3