國立高雄大學圖資館 |

Language: English

Back

Metaheuristics algorithms in power s...

Barocio Espejo, Emilio.

Metaheuristics algorithms in power systems

Record Type:	Electronic resources : Monographic component part
Title/Author:	Metaheuristics algorithms in power systemsby Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enriquez.
Author:	Cuevas, Erik.
other author:	Barocio Espejo, Emilio.
Published:	Cham :Springer International Publishing :2019.
Description:	xii, 221 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electric power systemsMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-11593-7
ISBN:	9783030115937$q(electronic bk.)

Metaheuristics algorithms in power systems
Cuevas, Erik.

Metaheuristics algorithms in power systems[electronic resource] /by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enriquez. - Cham :Springer International Publishing :2019. - xii, 221 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8221860-949X ;. - Studies in computational intelligence ;v. 216..

Chapter 1. Introduction to metaheuristics methods -- Chapter 2. Metaheuristic schemes for parameter estimation in induction motors -- Chapter 3. Non-conventional overcurrent relays coordination -- Chapter 4. Overcurrent relay coordination, robustness and fast solutions etc.

This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.

ISBN: 9783030115937$q(electronic bk.)

Standard No.: 10.1007/978-3-030-11593-7doiSubjects--Topical Terms:

238335
Electric power systems
--Mathematical models.

LC Class. No.: Q342 / .C848 2019

Dewey Class. No.: 006.3

Metaheuristics algorithms in power systems
LDR:02658nmam 22003371 a 450 001 555649
003 DE-He213
005 20190705100035.0
006 m d
007 cr nn 008maaau
008 191121s2019 gw s 0 eng d
020 $a 9783030115937$q(electronic bk.)
020 $a 9783030115920$q(paper)
024 7 $a 10.1007/978-3-030-11593-7 $2 doi
035 $a 978-3-030-11593-7
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342 $b .C848 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .C965 2019
100 1 $a Cuevas, Erik. $3 737835
245 1 0 $a Metaheuristics algorithms in power systems $h [electronic resource] / $c by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enriquez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xii, 221 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.822
505 0 $a Chapter 1. Introduction to metaheuristics methods -- Chapter 2. Metaheuristic schemes for parameter estimation in induction motors -- Chapter 3. Non-conventional overcurrent relays coordination -- Chapter 4. Overcurrent relay coordination, robustness and fast solutions etc.
520 $a This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.
650 0 $a Electric power systems $x Mathematical models. $3 238335
650 0 $a Engineering. $3 210888
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Energy Systems. $3 512090
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 338660
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Barocio Espejo, Emilio. $3 837870
700 1 $a Conde Enriquez, Arturo. $3 837871
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-030-11593-7
950 $a Intelligent Technologies and Robotics (Springer-42732)