國立虎尾科技大學 |

Handbook of Optimization in Electric Power Distribution Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of Optimization in Electric Power Distribution Systems/ edited by Mariana Resener, Steffen Rebennack, Panos M. Pardalos, Sérgio Haffner.
其他作者:	Resener, Mariana.
面頁冊數:	XI, 382 p. 160 illus., 89 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Operations research. -
電子資源:	https://doi.org/10.1007/978-3-030-36115-0
ISBN:	9783030361150

Handbook of Optimization in Electric Power Distribution Systems
Handbook of Optimization in Electric Power Distribution Systems[electronic resource] /edited by Mariana Resener, Steffen Rebennack, Panos M. Pardalos, Sérgio Haffner. - 1st ed. 2020. - XI, 382 p. 160 illus., 89 illus. in color.online resource. - Energy Systems,1867-8998. - Energy Systems,.

Optimal Volt/Var Control Applied to Modern Distribution Systems -- Consensus Based Distributed Optimal ReactivePpower Control in Power Distribution Systems -- Linear Model to Represent Unbalanced Distribution Systems in Optimization Problems -- Convex Optimization for the Optimal Power Flow on DC Distribution Systems -- Energy Storage System Sitting and Sizing for Renewable Support -- Distribution System Operation with Energy Storage and Renewable Generation Uncertainty -- Network Reconfiguration in Modern Power Distribution Networks -- Switch Optimization for Smart Grid Distribution Automation -- Optimal Restoration of Electrical Distribution Systems Considering Switching Sequence -- Electric Distribution Network Planning Under Uncertainty -- Phase Balancing in Power Distribution Grids: A Genetic Algorithm with a Group-based Codification -- Deterministic and Probabilistic Models for Energy Management in Distribution Systems. .

This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources. It also presents recent models, solution techniques and computational tools to solve planning problems for power distribution systems and explains how to apply them in distributed and variable energy generation resources. As such, the book therefore is a valuable tool to leverage the expansion and operation planning of electricity distribution networks.

ISBN: 9783030361150

Standard No.: 10.1007/978-3-030-36115-0doiSubjects--Topical Terms:

573517
Operations research.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Handbook of Optimization in Electric Power Distribution Systems
LDR:02990nam a22004215i 4500 001 1023200
003 DE-He213
005 20200629140842.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030361150 $9 978-3-030-36115-0
024 7 $a 10.1007/978-3-030-36115-0 $2 doi
035 $a 978-3-030-36115-0
050 4 $a HD30.23
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 658.40301 $2 23
245 1 0 $a Handbook of Optimization in Electric Power Distribution Systems $h [electronic resource] / $c edited by Mariana Resener, Steffen Rebennack, Panos M. Pardalos, Sérgio Haffner.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XI, 382 p. 160 illus., 89 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 Energy Systems, $x 1867-8998
505 0 $a Optimal Volt/Var Control Applied to Modern Distribution Systems -- Consensus Based Distributed Optimal ReactivePpower Control in Power Distribution Systems -- Linear Model to Represent Unbalanced Distribution Systems in Optimization Problems -- Convex Optimization for the Optimal Power Flow on DC Distribution Systems -- Energy Storage System Sitting and Sizing for Renewable Support -- Distribution System Operation with Energy Storage and Renewable Generation Uncertainty -- Network Reconfiguration in Modern Power Distribution Networks -- Switch Optimization for Smart Grid Distribution Automation -- Optimal Restoration of Electrical Distribution Systems Considering Switching Sequence -- Electric Distribution Network Planning Under Uncertainty -- Phase Balancing in Power Distribution Grids: A Genetic Algorithm with a Group-based Codification -- Deterministic and Probabilistic Models for Energy Management in Distribution Systems. .
520 $a This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources. It also presents recent models, solution techniques and computational tools to solve planning problems for power distribution systems and explains how to apply them in distributed and variable energy generation resources. As such, the book therefore is a valuable tool to leverage the expansion and operation planning of electricity distribution networks.
650 0 $a Operations research. $3 573517
650 0 $a Decision making. $3 528319
650 0 $a Energy systems. $3 1253529
650 0 $a Mathematical optimization. $3 527675
650 0 $a Energy policy. $3 554736
650 0 $a Energy and state. $3 1197930
650 1 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Energy Systems. $3 785876
650 2 4 $a Optimization. $3 669174
650 2 4 $a Energy Policy, Economics and Management. $3 784769
700 1 $a Resener, Mariana. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319081
700 1 $a Rebennack, Steffen. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 785738
700 1 $a Pardalos, Panos M. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 669384
700 1 $a Haffner, Sérgio. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319082
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030361143
776 0 8 $i Printed edition: $z 9783030361167
776 0 8 $i Printed edition: $z 9783030361174
830 0 $a Energy Systems, $x 1867-8998 $3 1258721
856 4 0 $u https://doi.org/10.1007/978-3-030-36115-0
912 $a ZDB-2-ENE
912 $a ZDB-2-SXEN
950 $a Energy (SpringerNature-40367)
950 $a Energy (R0) (SpringerNature-43717)