東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Soft computing techniques in voltage...

Chakraborty, Kabir.

Linked to FindBook

Google Book

Amazon

博客來

Soft computing techniques in voltage security analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soft computing techniques in voltage security analysis/ by Kabir Chakraborty, Abhijit Chakrabarti.
Author:	Chakraborty, Kabir.
other author:	Chakrabarti, Abhijit.
Published:	New Delhi :Springer India : : 2015.,
Description:	xvii, 221 p. :ill., digital ;24 cm.
[NT 15003449]:	Voltage Security-An Introduction -- Load Flow Studies -- Voltage Stability and Security Analysis -- Voltage Security Analysis by Classical Methods -- Soft Computing Techniques - An Overview -- Multi-Layer Perceptron (MLP) with Error Back-Propagation Learning in Voltage Security Analysis -- Classification of Voltage Security States Using Unsupervised ANNs -- Classification of Voltage Security States Using Supervised ANNs.
Contained By:	Springer eBooks
Subject:	Electric power system stability - Data processing. -
Online resource:	http://dx.doi.org/10.1007/978-81-322-2307-8
ISBN:	9788132223078 (electronic bk.)

Soft computing techniques in voltage security analysis
Chakraborty, Kabir.

Soft computing techniques in voltage security analysis[electronic resource] /by Kabir Chakraborty, Abhijit Chakrabarti. - New Delhi :Springer India :2015. - xvii, 221 p. :ill., digital ;24 cm. - Energy systems in electrical engineering,2199-8582. - Energy systems in electrical engineering..

Voltage Security-An Introduction -- Load Flow Studies -- Voltage Stability and Security Analysis -- Voltage Security Analysis by Classical Methods -- Soft Computing Techniques - An Overview -- Multi-Layer Perceptron (MLP) with Error Back-Propagation Learning in Voltage Security Analysis -- Classification of Voltage Security States Using Unsupervised ANNs -- Classification of Voltage Security States Using Supervised ANNs.

This book focuses on soft computing techniques for enhancing voltage security in electrical power networks. Artificial neural networks (ANNs) have been chosen as a soft computing tool, since such networks are eminently suitable for the study of voltage security. The different architectures of the ANNs used in this book are selected on the basis of intelligent criteria rather than by a "brute force" method of trial and error. The fundamental aim of this book is to present a comprehensive treatise on power system security and the simulation of power system security. The core concepts are substantiated by suitable illustrations and computer methods. The book describes analytical aspects of operation and characteristics of power systems from the viewpoint of voltage security. The text is self-contained and thorough. It is intended for senior undergraduate students and postgraduate students in electrical engineering. Practicing engineers, Electrical Control Center (ECC) operators and researchers will also find the book useful.

ISBN: 9788132223078 (electronic bk.)

Standard No.: 10.1007/978-81-322-2307-8doiSubjects--Topical Terms:

2139441
Electric power system stability
--Data processing.

LC Class. No.: TK1010

Dewey Class. No.: 621.31

Soft computing techniques in voltage security analysis
LDR:02511nmm a2200337 a 4500 001 1997991
003 DE-He213
005 20151027153043.0
006 m d
007 cr nn 008maaau
008 151112s2015 ii s 0 eng d
020 $a 9788132223078 (electronic bk.)
020 $a 9788132223061 (paper)
024 7 $a 10.1007/978-81-322-2307-8 $2 doi
035 $a 978-81-322-2307-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1010
072 7 $a THRD $2 bicssc
072 7 $a THRM $2 bicssc
072 7 $a TEC046000 $2 bisacsh
082 0 4 $a 621.31 $2 23
090 $a TK1010 $b .C435 2015
100 1 $a Chakraborty, Kabir. $3 2139440
245 1 0 $a Soft computing techniques in voltage security analysis $h [electronic resource] / $c by Kabir Chakraborty, Abhijit Chakrabarti.
260 $a New Delhi : $b Springer India : $b Imprint: Springer, $c 2015.
300 $a xvii, 221 p. : $b ill., digital ; $c 24 cm.
490 1 $a Energy systems in electrical engineering, $x 2199-8582
505 0 $a Voltage Security-An Introduction -- Load Flow Studies -- Voltage Stability and Security Analysis -- Voltage Security Analysis by Classical Methods -- Soft Computing Techniques - An Overview -- Multi-Layer Perceptron (MLP) with Error Back-Propagation Learning in Voltage Security Analysis -- Classification of Voltage Security States Using Unsupervised ANNs -- Classification of Voltage Security States Using Supervised ANNs.
520 $a This book focuses on soft computing techniques for enhancing voltage security in electrical power networks. Artificial neural networks (ANNs) have been chosen as a soft computing tool, since such networks are eminently suitable for the study of voltage security. The different architectures of the ANNs used in this book are selected on the basis of intelligent criteria rather than by a "brute force" method of trial and error. The fundamental aim of this book is to present a comprehensive treatise on power system security and the simulation of power system security. The core concepts are substantiated by suitable illustrations and computer methods. The book describes analytical aspects of operation and characteristics of power systems from the viewpoint of voltage security. The text is self-contained and thorough. It is intended for senior undergraduate students and postgraduate students in electrical engineering. Practicing engineers, Electrical Control Center (ECC) operators and researchers will also find the book useful.
650 0 $a Electric power system stability $x Data processing. $3 2139441
650 0 $a Electromotive force $x Data processing. $3 2139442
650 0 $a Soft computing $x Industrial applications. $3 901250
650 1 4 $a Engineering. $3 586835
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Energy Systems. $3 1530445
700 1 $a Chakrabarti, Abhijit. $3 2131521
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Energy systems in electrical engineering. $3 2131820
856 4 0 $u http://dx.doi.org/10.1007/978-81-322-2307-8
950 $a Engineering (Springer-11647)