國立虎尾科技大學 |

Online Algorithms for Optimal Energy Distribution in Microgrids

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Online Algorithms for Optimal Energy Distribution in Microgrids/ by Yu Wang, Shiwen Mao, R. Mark Nelms.
Author:	Wang, Yu.
other author:	Mao, Shiwen.
Description:	XIII, 91 p. 24 illus., 21 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Energy efficiency. -
Online resource:	https://doi.org/10.1007/978-3-319-17133-3
ISBN:	9783319171333

Online Algorithms for Optimal Energy Distribution in Microgrids
Wang, Yu.

Online Algorithms for Optimal Energy Distribution in Microgrids[electronic resource] /by Yu Wang, Shiwen Mao, R. Mark Nelms. - 1st ed. 2015. - XIII, 91 p. 24 illus., 21 illus. in color.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.

Introduction -- System model and problem formulation -- Online and offline algorithms -- Distributed online algorithm -- Communication protocols -- Future work and open problems.

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.

ISBN: 9783319171333

Standard No.: 10.1007/978-3-319-17133-3doiSubjects--Topical Terms:

1175986
Energy efficiency.

LC Class. No.: T58.8

Dewey Class. No.: 658.26

Online Algorithms for Optimal Energy Distribution in Microgrids
LDR:02661nam a22003975i 4500 001 966207
003 DE-He213
005 20200703113802.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319171333 $9 978-3-319-17133-3
024 7 $a 10.1007/978-3-319-17133-3 $2 doi
035 $a 978-3-319-17133-3
050 4 $a T58.8
072 7 $a TH $2 bicssc
072 7 $a TEC031000 $2 bisacsh
072 7 $a TH $2 thema
082 0 4 $a 658.26 $2 23
100 1 $a Wang, Yu. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1067085
245 1 0 $a Online Algorithms for Optimal Energy Distribution in Microgrids $h [electronic resource] / $c by Yu Wang, Shiwen Mao, R. Mark Nelms.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XIII, 91 p. 24 illus., 21 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Applied Sciences and Technology, $x 2191-530X
505 0 $a Introduction -- System model and problem formulation -- Online and offline algorithms -- Distributed online algorithm -- Communication protocols -- Future work and open problems.
520 $a 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.
650 0 $a Energy efficiency. $3 1175986
650 0 $a Power electronics. $3 561011
650 0 $a Management. $3 558618
650 0 $a Industrial management. $3 556510
650 1 4 $a Energy Efficiency. $3 1112432
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 768690
650 2 4 $a Innovation/Technology Management. $3 786196
700 1 $a Mao, Shiwen. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1023685
700 1 $a Nelms, R. Mark. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1261845
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319171340
776 0 8 $i Printed edition: $z 9783319171326
830 0 $a SpringerBriefs in Applied Sciences and Technology, $x 2191-530X $3 1253575
856 4 0 $u https://doi.org/10.1007/978-3-319-17133-3
912 $a ZDB-2-ENE
912 $a ZDB-2-SXEN
950 $a Energy (SpringerNature-40367)
950 $a Energy (R0) (SpringerNature-43717)